Saturday, January 30, 2021
Episode 500 - 8 Years Of Progress In Cloth Simulations! 👕
❤️ Check out Weights & Biases and sign up for a free demo here: https://ift.tt/2YuG7Yf ❤️ Their mentioned post is available here: https://ift.tt/3pzoPUa 📝 The paper "Robust Eulerian-On-Lagrangian Rods" is available here: https://ift.tt/2YtiEF9 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Haro, Alex Serban, Alex Paden, Andrew Melnychuk, Angelos Evripiotis, Benji Rabhan, Bruno Mikuš, Bryan Learn, Christian Ahlin, Eric Haddad, Eric Lau, Eric Martel, Gordon Child, Haris Husic, Jace O'Brien, Javier Bustamante, Joshua Goller, Kenneth Davis, Lorin Atzberger, Lukas Biewald, Matthew Allen Fisher, Michael Albrecht, Nikhil Velpanur, Owen Campbell-Moore, Owen Skarpness, Ramsey Elbasheer, Robin Graham, Steef, Taras Bobrovytsky, Thomas Krcmar, Torsten Reil, Tybie Fitzhugh. If you wish to support the series, click here: https://ift.tt/2icTBUb Károly Zsolnai-Fehér's links: Instagram: https://ift.tt/2KBCNkT Twitter: https://twitter.com/twominutepapers Web: https://ift.tt/1NwkG9m
Friday, January 29, 2021
SingularityNET - A Decentralized, Open Market and Network for AIs (Whitepaper Explained)
#ai #research #blockchain Big Tech is currently dominating the pursuit of ever more capable AI. This happens behind closed doors and results in a monopoly of power. SingularityNET is an open, decentralized network where anyone can offer and consume AI services, and where AI agents can interlink with each other to provide ever more sophisticated AI, with the goal to create a singularity that's beneficial for humanity. This video takes a look at the basics behind SingularityNET and some of its core components. OUTLINE: 0:00 - Intro & Overview 2:55 - Document Summarization Example Workflow 5:50 - Why AI needs a Marketplace? 9:20 - A network of APIs 12:30 - AI Evaluators & Matchmakers 15:00 - My criticisms of the Marketplace 17:45 - What is on the Blockchain? 20:45 - AI Marketplace Demo 22:00 - The AGI Token & Inflation 26:30 - Reputation System & other features 30:00 - Democratic Governance 33:00 - Benefit Tasks 36:15 - My general thoughts on the application examples 38:05 - Measuring Intelligence on SingularityNET 45:15 - OfferNet Economy 50:00 - Summary & Comments Whitepaper: https://ift.tt/2zajf0T Website: https://ift.tt/2fyaKHU AI Marketplace: https://ift.tt/3a90FJq References: https://ift.tt/3pw3smJ https://ift.tt/2oatoXY https://ift.tt/39xpPCK https://ift.tt/3cvBQds https://ift.tt/3agVFmb ADDENDUM: I forgot to mention one important example for the utility of dynamic matchmaking: If I have a German text to summarize, and there is a German summarizer, but there is also a better English one, a clever AI could figure out for me whether to use the German one or whether to use a translator to English, then the English summarizer, then a backtranslator. And it could even do so depending on the input text. Abstract: [...] Most AI research today is controlled by a handful of corporations—those with the resources to fund development. Independent developers of AI tools have no readily available way to monetize their creations. Usually, their most lucrative option is to sell their tool to one of the big tech companies, leading to control of the technology becoming even more concentrated. SingularityNET’s open-source protocol and collection of smart contracts are designed to address these problems. Developers can launch their AI tools on the network, where they can interoperate with other AIs and with paying users. Not only does the SingularityNET platform give developers a commercial launchpad (much like app stores give mobile app developers an easy path to market), it also allows the AIs to interoperate, creating a more synergistic, broadly capable intelligence. For example, if a text-to-speech AI and an Italian-to-English translation AI were both on the network, then the network as a whole would be capable of using Italian text to produce English speech. Within this framework, AI transforms from a corporate asset to a global commons; anyone can access AI tech or become a stakeholder in its development. Also, anyone can add an AI/machine learning service to SingularityNET for use by the network and receive network payment tokens in exchange. [...] Links: TabNine Code Completion (Referral): http://bit.ly/tabnine-yannick YouTube: https://www.youtube.com/c/yannickilcher Twitter: https://twitter.com/ykilcher Discord: https://ift.tt/3dJpBrR BitChute: https://ift.tt/38iX6OV Minds: https://ift.tt/37igBpB Parler: https://ift.tt/38tQU7C LinkedIn: https://ift.tt/2Zo6XRA BiliBili: https://ift.tt/3mfyjkW If you want to support me, the best thing to do is to share out the content :) If you want to support me financially (completely optional and voluntary, but a lot of people have asked for this): SubscribeStar: https://ift.tt/2DuKOZ3 Patreon: https://ift.tt/390ewRH Bitcoin (BTC): bc1q49lsw3q325tr58ygf8sudx2dqfguclvngvy2cq Ethereum (ETH): 0x7ad3513E3B8f66799f507Aa7874b1B0eBC7F85e2 Litecoin (LTC): LQW2TRyKYetVC8WjFkhpPhtpbDM4Vw7r9m Monero (XMR): 4ACL8AGrEo5hAir8A9CeVrW8pEauWvnp1WnSDZxW7tziCDLhZAGsgzhRQABDnFy8yuM9fWJDviJPHKRjV4FWt19CJZN9D4n
Data Analytics using R | Logical Operators in R 3.9 | AI/ML Tutorial
Imurgence, was founded to leverage training expertise and the resource building capabilities inherited from Simple and Real Analytics. The Certificate version of the same course is available on imurgence.com under the course name iDS Plus without any charges. On YouTube we cannot have the Project Submission, Certificate completion and data management , so the same is made available on website without any cost. The Course is a lucid one which help's a beginner to Learn concepts of data analytics, data science and advanced machine learning using R and Python with hands-on case study. At the end of the course the user would be able to apply the leanings on practical used cases in business. Upon successful completion of this course, the learner will be skilled in Machine Learning and AI using R & Python. Target Audience This course is ideal for anyone looking to improve their skills or start a career in data science, business analytics, artificial intelligence (AI) or machine learning. Prerequisites There are no prerequisites for this course. Available on Website same content with the following Type of Certification Certificate of Completion Format of Certification Digital Professional Association/Affiliation The certificate is issued by Imurgence an autonomous institution Method of Obtaining Certification Upon successfully completing 80% of this course, the learner will be able to download digital copy of the Certificate and Mark sheet from the Certificates section . The Mark Sheet will keep on updating as the learner progresses towards 100% completion. And also Follow and like our Facebook Page: https://www.facebook.com/Imurgence/ Follow us on Twitter: https://twitter.com/imurgence Follow us @imurgence on Instagram: https://www.instagram.com/imurgence/ Subscribe and like our YouTube Channel: https://www.youtube.com/channel/UCHfrkjoyXZZN207VSfecJ2A Use the Youtube Play list for learning: https://www.youtube.com/channel/UCHfrkjoyXZZN207VSfecJ2A/playlists Like our Company Page on LinkedIn: https://www.linkedin.com/company/imurgence For Blogs visit the link: https://www.imurgence.com/home/blogs Google MyBusiness Listing: https://g.page/Imurgence?we
Data Analytics using R | Assignment Operators in R 3.10 | AI/ML Tutorial
Imurgence, was founded to leverage training expertise and the resource building capabilities inherited from Simple and Real Analytics. The Certificate version of the same course is available on imurgence.com under the course name iDS Plus without any charges. On YouTube we cannot have the Project Submission, Certificate completion and data management , so the same is made available on website without any cost. The Course is a lucid one which help's a beginner to Learn concepts of data analytics, data science and advanced machine learning using R and Python with hands-on case study. At the end of the course the user would be able to apply the leanings on practical used cases in business. Upon successful completion of this course, the learner will be skilled in Machine Learning and AI using R & Python. Target Audience This course is ideal for anyone looking to improve their skills or start a career in data science, business analytics, artificial intelligence (AI) or machine learning. Prerequisites There are no prerequisites for this course. Available on Website same content with the following Type of Certification Certificate of Completion Format of Certification Digital Professional Association/Affiliation The certificate is issued by Imurgence an autonomous institution Method of Obtaining Certification Upon successfully completing 80% of this course, the learner will be able to download digital copy of the Certificate and Mark sheet from the Certificates section . The Mark Sheet will keep on updating as the learner progresses towards 100% completion. And also Follow and like our Facebook Page: https://www.facebook.com/Imurgence/ Follow us on Twitter: https://twitter.com/imurgence Follow us @imurgence on Instagram: https://www.instagram.com/imurgence/ Subscribe and like our YouTube Channel: https://www.youtube.com/channel/UCHfrkjoyXZZN207VSfecJ2A Use the Youtube Play list for learning: https://www.youtube.com/channel/UCHfrkjoyXZZN207VSfecJ2A/playlists Like our Company Page on LinkedIn: https://www.linkedin.com/company/imurgence For Blogs visit the link: https://www.imurgence.com/home/blogs Google MyBusiness Listing: https://g.page/Imurgence?we
Data Analytics using R | Matrix in R 3.11 | AI/ML Tutorial
Imurgence, was founded to leverage training expertise and the resource building capabilities inherited from Simple and Real Analytics. The Certificate version of the same course is available on imurgence.com under the course name iDS Plus without any charges. On YouTube we cannot have the Project Submission, Certificate completion and data management , so the same is made available on website without any cost. The Course is a lucid one which help's a beginner to Learn concepts of data analytics, data science and advanced machine learning using R and Python with hands-on case study. At the end of the course the user would be able to apply the leanings on practical used cases in business. Upon successful completion of this course, the learner will be skilled in Machine Learning and AI using R & Python. Target Audience This course is ideal for anyone looking to improve their skills or start a career in data science, business analytics, artificial intelligence (AI) or machine learning. Prerequisites There are no prerequisites for this course. Available on Website same content with the following Type of Certification Certificate of Completion Format of Certification Digital Professional Association/Affiliation The certificate is issued by Imurgence an autonomous institution Method of Obtaining Certification Upon successfully completing 80% of this course, the learner will be able to download digital copy of the Certificate and Mark sheet from the Certificates section . The Mark Sheet will keep on updating as the learner progresses towards 100% completion. And also Follow and like our Facebook Page: https://www.facebook.com/Imurgence/ Follow us on Twitter: https://twitter.com/imurgence Follow us @imurgence on Instagram: https://www.instagram.com/imurgence/ Subscribe and like our YouTube Channel: https://www.youtube.com/channel/UCHfrkjoyXZZN207VSfecJ2A Use the Youtube Play list for learning: https://www.youtube.com/channel/UCHfrkjoyXZZN207VSfecJ2A/playlists Like our Company Page on LinkedIn: https://www.linkedin.com/company/imurgence For Blogs visit the link: https://www.imurgence.com/home/blogs Google MyBusiness Listing: https://g.page/Imurgence?we
Data Analytics using R | Matrix in R 3.12 | AI/ML Tutorial
Imurgence, was founded to leverage training expertise and the resource building capabilities inherited from Simple and Real Analytics. The Certificate version of the same course is available on imurgence.com under the course name iDS Plus without any charges. On YouTube we cannot have the Project Submission, Certificate completion and data management , so the same is made available on website without any cost. The Course is a lucid one which help's a beginner to Learn concepts of data analytics, data science and advanced machine learning using R and Python with hands-on case study. At the end of the course the user would be able to apply the leanings on practical used cases in business. Upon successful completion of this course, the learner will be skilled in Machine Learning and AI using R & Python. Target Audience This course is ideal for anyone looking to improve their skills or start a career in data science, business analytics, artificial intelligence (AI) or machine learning. Prerequisites There are no prerequisites for this course. Available on Website same content with the following Type of Certification Certificate of Completion Format of Certification Digital Professional Association/Affiliation The certificate is issued by Imurgence an autonomous institution Method of Obtaining Certification Upon successfully completing 80% of this course, the learner will be able to download digital copy of the Certificate and Mark sheet from the Certificates section . The Mark Sheet will keep on updating as the learner progresses towards 100% completion. And also Follow and like our Facebook Page: https://www.facebook.com/Imurgence/ Follow us on Twitter: https://twitter.com/imurgence Follow us @imurgence on Instagram: https://www.instagram.com/imurgence/ Subscribe and like our YouTube Channel: https://www.youtube.com/channel/UCHfrkjoyXZZN207VSfecJ2A Use the Youtube Play list for learning: https://www.youtube.com/channel/UCHfrkjoyXZZN207VSfecJ2A/playlists Like our Company Page on LinkedIn: https://www.linkedin.com/company/imurgence For Blogs visit the link: https://www.imurgence.com/home/blogs Google MyBusiness Listing: https://g.page/Imurgence?we
Data Analytics using R | Matrix in R 3.15 | AI/ML Tutorial
Imurgence, was founded to leverage training expertise and the resource building capabilities inherited from Simple and Real Analytics. The Certificate version of the same course is available on imurgence.com under the course name iDS Plus without any charges. On YouTube we cannot have the Project Submission, Certificate completion and data management , so the same is made available on website without any cost. The Course is a lucid one which help's a beginner to Learn concepts of data analytics, data science and advanced machine learning using R and Python with hands-on case study. At the end of the course the user would be able to apply the leanings on practical used cases in business. Upon successful completion of this course, the learner will be skilled in Machine Learning and AI using R & Python. Target Audience This course is ideal for anyone looking to improve their skills or start a career in data science, business analytics, artificial intelligence (AI) or machine learning. Prerequisites There are no prerequisites for this course. Available on Website same content with the following Type of Certification Certificate of Completion Format of Certification Digital Professional Association/Affiliation The certificate is issued by Imurgence an autonomous institution Method of Obtaining Certification Upon successfully completing 80% of this course, the learner will be able to download digital copy of the Certificate and Mark sheet from the Certificates section . The Mark Sheet will keep on updating as the learner progresses towards 100% completion. And also Follow and like our Facebook Page: https://www.facebook.com/Imurgence/ Follow us on Twitter: https://twitter.com/imurgence Follow us @imurgence on Instagram: https://www.instagram.com/imurgence/ Subscribe and like our YouTube Channel: https://www.youtube.com/channel/UCHfrkjoyXZZN207VSfecJ2A Use the Youtube Play list for learning: https://www.youtube.com/channel/UCHfrkjoyXZZN207VSfecJ2A/playlists Like our Company Page on LinkedIn: https://www.linkedin.com/company/imurgence For Blogs visit the link: https://www.imurgence.com/home/blogs Google MyBusiness Listing: https://g.page/Imurgence?we
Data Analytics using R |Factors in R 3.16 | AI/ML Tutorial
Imurgence, was founded to leverage training expertise and the resource building capabilities inherited from Simple and Real Analytics. The Certificate version of the same course is available on imurgence.com under the course name iDS Plus without any charges. On YouTube we cannot have the Project Submission, Certificate completion and data management , so the same is made available on website without any cost. The Course is a lucid one which help's a beginner to Learn concepts of data analytics, data science and advanced machine learning using R and Python with hands-on case study. At the end of the course the user would be able to apply the leanings on practical used cases in business. Upon successful completion of this course, the learner will be skilled in Machine Learning and AI using R & Python. Target Audience This course is ideal for anyone looking to improve their skills or start a career in data science, business analytics, artificial intelligence (AI) or machine learning. Prerequisites There are no prerequisites for this course. Available on Website same content with the following Type of Certification Certificate of Completion Format of Certification Digital Professional Association/Affiliation The certificate is issued by Imurgence an autonomous institution Method of Obtaining Certification Upon successfully completing 80% of this course, the learner will be able to download digital copy of the Certificate and Mark sheet from the Certificates section . The Mark Sheet will keep on updating as the learner progresses towards 100% completion. And also Follow and like our Facebook Page: https://www.facebook.com/Imurgence/ Follow us on Twitter: https://twitter.com/imurgence Follow us @imurgence on Instagram: https://www.instagram.com/imurgence/ Subscribe and like our YouTube Channel: https://www.youtube.com/channel/UCHfrkjoyXZZN207VSfecJ2A Use the Youtube Play list for learning: https://www.youtube.com/channel/UCHfrkjoyXZZN207VSfecJ2A/playlists Like our Company Page on LinkedIn: https://www.linkedin.com/company/imurgence For Blogs visit the link: https://www.imurgence.com/home/blogs Google MyBusiness Listing: https://g.page/Imurgence?we
Data Analytics using R |Factors in R 3.17 | AI/ML Tutorial
Imurgence, was founded to leverage training expertise and the resource building capabilities inherited from Simple and Real Analytics. The Certificate version of the same course is available on imurgence.com under the course name iDS Plus without any charges. On YouTube we cannot have the Project Submission, Certificate completion and data management , so the same is made available on website without any cost. The Course is a lucid one which help's a beginner to Learn concepts of data analytics, data science and advanced machine learning using R and Python with hands-on case study. At the end of the course the user would be able to apply the leanings on practical used cases in business. Upon successful completion of this course, the learner will be skilled in Machine Learning and AI using R & Python. Target Audience This course is ideal for anyone looking to improve their skills or start a career in data science, business analytics, artificial intelligence (AI) or machine learning. Prerequisites There are no prerequisites for this course. Available on Website same content with the following Type of Certification Certificate of Completion Format of Certification Digital Professional Association/Affiliation The certificate is issued by Imurgence an autonomous institution Method of Obtaining Certification Upon successfully completing 80% of this course, the learner will be able to download digital copy of the Certificate and Mark sheet from the Certificates section . The Mark Sheet will keep on updating as the learner progresses towards 100% completion. And also Follow and like our Facebook Page: https://www.facebook.com/Imurgence/ Follow us on Twitter: https://twitter.com/imurgence Follow us @imurgence on Instagram: https://www.instagram.com/imurgence/ Subscribe and like our YouTube Channel: https://www.youtube.com/channel/UCHfrkjoyXZZN207VSfecJ2A Use the Youtube Play list for learning: https://www.youtube.com/channel/UCHfrkjoyXZZN207VSfecJ2A/playlists Like our Company Page on LinkedIn: https://www.linkedin.com/company/imurgence For Blogs visit the link: https://www.imurgence.com/home/blogs Google MyBusiness Listing: https://g.page/Imurgence?we
Thursday, January 28, 2021
Tutorial Orange Untuk Data Science dan Machine Learning
`Webinar DILo Banda Aceh x BISA AI #10 – Tutorial Orange Untuk Data Science dan Machine Learning Orange adalah software analisis dan visualisasi data yang dapat digunakan tanpa kode. Untuk pemula, software ini cocok digunakan sebagai pengenalan dan eksplorasi dasar-dasar Data Science dan Machine Learning. Tentunya ada juga fitur-fitur yang dapat digunakan untuk membantu modelling dan projek tingkat lanjut lainnya. Ikuti webinar DILo Banda Aceh x BISA AI #10 kali ini untuk sama-sama belajar Data Science dan Machine Learning tanpa menggunakan kodingan! Bersama : - Rusnanda Farhan, S.Si Researcher BISA AI Acara ini akan dilaksanakan pada : Selasa, 12 Januari 2021 19.00 WIB – Selesai Langsung dari TAMPIL dan YouTube TAMPIL Daftar acaranya di: bit.ly/DataScience-MachineLearning-Jan2021 Dan dapatkan sertifikatnya! --- Ikuti sosial media kami untuk berbagai informasi terbaru: instagram.com/dilobandaaceh instagram.com/bisa.tampil Youtube: bit.ly/bisa_tampil #bisaai #id5g #webinar #orange #ai #datascience #machinelearning #artificialintelligence #orangedatascience #python
Types of Machine Learning| Supervised Unsupervised Reinforcement Learning| Machine Learning Tutorial
This video is about the types of Machine Learning: Supervised Learning, Unsupervised Learning & Reinforcement Learning. Subscribe for more related videos. Hands-on Data Science course with Python: https://skl.sh/37HCLFj Instagram : https://www.instagram.com/siddhardhan23/ Facebook : https://www.facebook.com/siddhardh23 #ArtificialIntelligence #MachineLearning #SupervisedLearning #UnsupervisedLearning #ReinforcementLearning #AI #ML #DeepLearning #DL
Data Analytics using R | Relational Operators in R 3.8 | AI/ML Tutorial
Imurgence, was founded to leverage training expertise and the resource building capabilities inherited from Simple and Real Analytics. The Certificate version of the same course is available on imurgence.com under the course name iDS Plus without any charges. On YouTube we cannot have the Project Submission, Certificate completion and data management , so the same is made available on website without any cost. The Course is a lucid one which help's a beginner to Learn concepts of data analytics, data science and advanced machine learning using R and Python with hands-on case study. At the end of the course the user would be able to apply the leanings on practical used cases in business. Upon successful completion of this course, the learner will be skilled in Machine Learning and AI using R & Python. Target Audience This course is ideal for anyone looking to improve their skills or start a career in data science, business analytics, artificial intelligence (AI) or machine learning. Prerequisites There are no prerequisites for this course. Available on Website same content with the following Type of Certification Certificate of Completion Format of Certification Digital Professional Association/Affiliation The certificate is issued by Imurgence an autonomous institution Method of Obtaining Certification Upon successfully completing 80% of this course, the learner will be able to download digital copy of the Certificate and Mark sheet from the Certificates section . The Mark Sheet will keep on updating as the learner progresses towards 100% completion. And also Follow and like our Facebook Page: https://www.facebook.com/Imurgence/ Follow us on Twitter: https://twitter.com/imurgence Follow us @imurgence on Instagram: https://www.instagram.com/imurgence/ Subscribe and like our YouTube Channel: https://www.youtube.com/channel/UCHfrkjoyXZZN207VSfecJ2A Use the Youtube Play list for learning: https://www.youtube.com/channel/UCHfrkjoyXZZN207VSfecJ2A/playlists Like our Company Page on LinkedIn: https://www.linkedin.com/company/imurgence For Blogs visit the link: https://www.imurgence.com/home/blogs Google MyBusiness Listing: https://g.page/Imurgence?we
Data Analytics using R | Matrix in R 3.12 | AI/ML Tutorial
Imurgence, was founded to leverage training expertise and the resource building capabilities inherited from Simple and Real Analytics. The Certificate version of the same course is available on imurgence.com under the course name iDS Plus without any charges. On YouTube we cannot have the Project Submission, Certificate completion and data management , so the same is made available on website without any cost. The Course is a lucid one which help's a beginner to Learn concepts of data analytics, data science and advanced machine learning using R and Python with hands-on case study. At the end of the course the user would be able to apply the leanings on practical used cases in business. Upon successful completion of this course, the learner will be skilled in Machine Learning and AI using R & Python. Target Audience This course is ideal for anyone looking to improve their skills or start a career in data science, business analytics, artificial intelligence (AI) or machine learning. Prerequisites There are no prerequisites for this course. Available on Website same content with the following Type of Certification Certificate of Completion Format of Certification Digital Professional Association/Affiliation The certificate is issued by Imurgence an autonomous institution Method of Obtaining Certification Upon successfully completing 80% of this course, the learner will be able to download digital copy of the Certificate and Mark sheet from the Certificates section . The Mark Sheet will keep on updating as the learner progresses towards 100% completion. And also Follow and like our Facebook Page: https://www.facebook.com/Imurgence/ Follow us on Twitter: https://twitter.com/imurgence Follow us @imurgence on Instagram: https://www.instagram.com/imurgence/ Subscribe and like our YouTube Channel: https://www.youtube.com/channel/UCHfrkjoyXZZN207VSfecJ2A Use the Youtube Play list for learning: https://www.youtube.com/channel/UCHfrkjoyXZZN207VSfecJ2A/playlists Like our Company Page on LinkedIn: https://www.linkedin.com/company/imurgence For Blogs visit the link: https://www.imurgence.com/home/blogs Google MyBusiness Listing: https://g.page/Imurgence?we
Data Analytics using R | Matrix in R 3.15 | AI/ML Tutorial
Imurgence, was founded to leverage training expertise and the resource building capabilities inherited from Simple and Real Analytics. The Certificate version of the same course is available on imurgence.com under the course name iDS Plus without any charges. On YouTube we cannot have the Project Submission, Certificate completion and data management , so the same is made available on website without any cost. The Course is a lucid one which help's a beginner to Learn concepts of data analytics, data science and advanced machine learning using R and Python with hands-on case study. At the end of the course the user would be able to apply the leanings on practical used cases in business. Upon successful completion of this course, the learner will be skilled in Machine Learning and AI using R & Python. Target Audience This course is ideal for anyone looking to improve their skills or start a career in data science, business analytics, artificial intelligence (AI) or machine learning. Prerequisites There are no prerequisites for this course. Available on Website same content with the following Type of Certification Certificate of Completion Format of Certification Digital Professional Association/Affiliation The certificate is issued by Imurgence an autonomous institution Method of Obtaining Certification Upon successfully completing 80% of this course, the learner will be able to download digital copy of the Certificate and Mark sheet from the Certificates section . The Mark Sheet will keep on updating as the learner progresses towards 100% completion. And also Follow and like our Facebook Page: https://www.facebook.com/Imurgence/ Follow us on Twitter: https://twitter.com/imurgence Follow us @imurgence on Instagram: https://www.instagram.com/imurgence/ Subscribe and like our YouTube Channel: https://www.youtube.com/channel/UCHfrkjoyXZZN207VSfecJ2A Use the Youtube Play list for learning: https://www.youtube.com/channel/UCHfrkjoyXZZN207VSfecJ2A/playlists Like our Company Page on LinkedIn: https://www.linkedin.com/company/imurgence For Blogs visit the link: https://www.imurgence.com/home/blogs Google MyBusiness Listing: https://g.page/Imurgence?we
Data Analytics using R |Factors in R 3.17 | AI/ML Tutorial
Imurgence, was founded to leverage training expertise and the resource building capabilities inherited from Simple and Real Analytics. The Certificate version of the same course is available on imurgence.com under the course name iDS Plus without any charges. On YouTube we cannot have the Project Submission, Certificate completion and data management , so the same is made available on website without any cost. The Course is a lucid one which help's a beginner to Learn concepts of data analytics, data science and advanced machine learning using R and Python with hands-on case study. At the end of the course the user would be able to apply the leanings on practical used cases in business. Upon successful completion of this course, the learner will be skilled in Machine Learning and AI using R & Python. Target Audience This course is ideal for anyone looking to improve their skills or start a career in data science, business analytics, artificial intelligence (AI) or machine learning. Prerequisites There are no prerequisites for this course. Available on Website same content with the following Type of Certification Certificate of Completion Format of Certification Digital Professional Association/Affiliation The certificate is issued by Imurgence an autonomous institution Method of Obtaining Certification Upon successfully completing 80% of this course, the learner will be able to download digital copy of the Certificate and Mark sheet from the Certificates section . The Mark Sheet will keep on updating as the learner progresses towards 100% completion. And also Follow and like our Facebook Page: https://www.facebook.com/Imurgence/ Follow us on Twitter: https://twitter.com/imurgence Follow us @imurgence on Instagram: https://www.instagram.com/imurgence/ Subscribe and like our YouTube Channel: https://www.youtube.com/channel/UCHfrkjoyXZZN207VSfecJ2A Use the Youtube Play list for learning: https://www.youtube.com/channel/UCHfrkjoyXZZN207VSfecJ2A/playlists Like our Company Page on LinkedIn: https://www.linkedin.com/company/imurgence For Blogs visit the link: https://www.imurgence.com/home/blogs Google MyBusiness Listing: https://g.page/Imurgence?we
Wednesday, January 27, 2021
Tutorial Orange Untuk Data Science dan Machine Learning
`Webinar DILo Banda Aceh x BISA AI #10 – Tutorial Orange Untuk Data Science dan Machine Learning Orange adalah software analisis dan visualisasi data yang dapat digunakan tanpa kode. Untuk pemula, software ini cocok digunakan sebagai pengenalan dan eksplorasi dasar-dasar Data Science dan Machine Learning. Tentunya ada juga fitur-fitur yang dapat digunakan untuk membantu modelling dan projek tingkat lanjut lainnya. Ikuti webinar DILo Banda Aceh x BISA AI #10 kali ini untuk sama-sama belajar Data Science dan Machine Learning tanpa menggunakan kodingan! Bersama : - Rusnanda Farhan, S.Si Researcher BISA AI Acara ini akan dilaksanakan pada : Selasa, 12 Januari 2021 19.00 WIB – Selesai Langsung dari TAMPIL dan YouTube TAMPIL Daftar acaranya di: bit.ly/DataScience-MachineLearning-Jan2021 Dan dapatkan sertifikatnya! --- Ikuti sosial media kami untuk berbagai informasi terbaru: instagram.com/dilobandaaceh instagram.com/bisa.tampil Youtube: bit.ly/bisa_tampil #bisaai #id5g #webinar #orange #ai #datascience #machinelearning #artificialintelligence #orangedatascience #python
Types of Machine Learning| Supervised Unsupervised Reinforcement Learning| Machine Learning Tutorial
This video is about the types of Machine Learning: Supervised Learning, Unsupervised Learning & Reinforcement Learning. Subscribe for more related videos. Hands-on Data Science course with Python: https://skl.sh/37HCLFj Instagram : https://www.instagram.com/siddhardhan23/ Facebook : https://www.facebook.com/siddhardh23 #ArtificialIntelligence #MachineLearning #SupervisedLearning #UnsupervisedLearning #ReinforcementLearning #AI #ML #DeepLearning #DL
Tuesday, January 26, 2021
This AI Learned To Create Dynamic Photos! 🌁
❤️ Check out Weights & Biases and sign up for a free demo here: https://ift.tt/2YuG7Yf ❤️ Their report on this paper is available here: https://ift.tt/3ca0yjD 📝 The paper "X-Fields: Implicit Neural View-, Light- and Time-Image Interpolation" is available here: https://ift.tt/3a0SoaA 📝 Our paper on neural rendering (and more!) is available here: https://ift.tt/2HhNzx5 📝 Our earlier paper with high-resolution images for the caustics is available here: https://ift.tt/2kEcw8R 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Haro, Alex Serban, Alex Paden, Andrew Melnychuk, Angelos Evripiotis, Benji Rabhan, Bruno Mikuš, Bryan Learn, Christian Ahlin, Eric Haddad, Eric Lau, Eric Martel, Gordon Child, Haris Husic, Jace O'Brien, Javier Bustamante, Joshua Goller, Lorin Atzberger, Lukas Biewald, Matthew Allen Fisher, Michael Albrecht, Nikhil Velpanur, Owen Campbell-Moore, Owen Skarpness, Ramsey Elbasheer, Robin Graham, Steef, Taras Bobrovytsky, Thomas Krcmar, Torsten Reil, Tybie Fitzhugh. If you wish to support the series, click here: https://ift.tt/2icTBUb Thumbnail background image credit: https://ift.tt/3t0UMGU Károly Zsolnai-Fehér's links: Instagram: https://ift.tt/2KBCNkT Twitter: https://twitter.com/twominutepapers Web: https://ift.tt/1NwkG9m
AI ML using Python
Artificial Intelligence - Machine learning using Python - Overview www.ezlearnpro.com
Meet the Future: AI and Machine Learning | Overview
Grade 6-12 Catalog Link: https://platform.certifiedschools.com/visitor_catalog_class/show/201952 Digital Media Academy | Certified Schools
Automated Videoing Assistant - Made with TensorFlow.js
Today on Made with TensorFlow.js we’re joined by Paul Jessop from London, who’s made some custom hardware powered by machine learning, that’s capable of tracking custom objects for sport videography and more. Hosted by Jason Mayes, Senior Developer Relations Engineer for TensorFlow.js. AVA Kickstarter → https://goo.gle/3o9CPlQ AVA - Automated Videoing Assistant → https://goo.gle/3m4dAQY AVA Twitter → https://goo.gle/3n5xA74 Use #MadeWithTFJS on social to share your own creations for a chance to be featured in our next show! Catch more #MadeWithTFJS interviews → http://goo.gle/made-with-tfjs Subscribe to the TensorFlow channel → https://goo.gle/TensorFlow
Monday, January 25, 2021
Live BOT Binomo Trading AI Bynary Option - AI Learning #129
This Video Have Purpose For My Historical Analysis of AI Learning on my Trading Bot Application #binomo#tradingbinomolive#livebinomo#binomoindonesia#tradingbotbinomo
Sunday, January 24, 2021
Live BOT Binomo Trading AI Bynary Option - AI Learning #127
This Video Have Purpose For My Historical Analysis of AI Learning on my Trading Bot Application #binomo#tradingbinomolive#livebinomo#binomoindonesia#tradingbotbinomo
Webinar Indonesia 5G Ecosystem x BISA AI #304 – Tutorial Machine Learning Dengan Ibm Spss Modeler
Webinar Indonesia 5G Ecosystem x BISA AI #304 – Tutorial Machine Learning Dengan Ibm Spss Modeler Di webinar Indonesia 5G Ecosystem x BISA AI #304 kali ini akan dibahas mengenai Tutorial Machine Learning Dengan Ibm Spss Modeler, bersama: - Anak Agung Adi W. K., S.Pd., M.Si Researcher BISA AI Acara ini akan dilaksanakan pada: Sabtu, 23 Januari 2021 13:00 WIB – Selesai Live dari Tampil dan YouTube Tampil Ikuti Instagram Tampil dari sekarang untuk melihat event-event baru dan update kegiatan selanjutnya! Daftar di: tampil.id/event Dan gabung bersama grup telegram BISA AI untuk berdiskusi seputar AI, IT, Programming, Riset dan yang lainnya. --- instagram.com/tampil_id Telegram: t.me/bisa_ai Youtube: youtube.com/tampilid #webinar #bisaai #event#machinelearning#artificialintelligence#modeler#IBM --- 📌 Playlist video event workshop, seminar, dan talkshow dari berbagai narasumber mengenai Python, AI, dll di: https://www.youtube.com/playlist?list=PLwEzEX1KA1ngauZlV1lQLk7XSBtifdSgL --- 📌 Lihat event-event selanjutnya di: https://bisa.ai/tampil/event --- Visit our website at : https://bisa.ai Blog at : https://medium.com/bisa-ai Instagram : https://www.instagram.com/bisa.ai/ Contact Person (BISA.AI) : +62-8211-6654-087 for latest info and events
Saturday, January 23, 2021
Q Learning In Reinforcement Learning | Q Learning Example | Machine Learning Tutorial | Simplilearn
Can we train an AI Model to find the best distance between two points without using an algorithm? The answer is yes! with Q-Learning, we can give life like qualities to our AI! In this video, we will teach you all there is to know about Q-Learning and more! 00:00:00 Introduction to Reinforcement Learning 00:03:03 What is Q-learning 00:04:40 Some important terms 00:05:51 Bellman Equation 00:07:08 Steps in Q-Learning Start learning today's most in-demand skills for FREE. Visit us at https://www.simplilearn.com/skillup-free-online-courses?utm_campaign=MachineLearning&utm_medium=Description&utm_source=youtube Choose over 300 in-demand skills and get access to 1000+ hours of video content for FREE in various technologies like Data Science, Cybersecurity, Project Management & Leadership, Digital Marketing, and much more. ✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH ⏩ Check out the Machine Learning tutorial videos: https://bit.ly/3fFR4f4 #QLearningInReinforcementLearning #QLearningMachineLearning #QLearningReinforcementLearning #MachineLearningForBeginners #QLearningExample #MachineLearningTutorial #MachineLearning #Simplilearn Post Graduate Program in AI and Machine Learning: Ranked #1 AI and Machine Learning course by TechGig Fast track your career with our comprehensive Post Graduate Program in AI and Machine Learning, in partnership with Purdue University and in collaboration with IBM. This AI and machine learning certification program will prepare you for one of the world’s most exciting technology frontiers. This Post Graduate Program in AI and Machine Learning covers statistics, Python, machine learning, deep learning networks, NLP, and reinforcement learning. You will build and deploy deep learning models on the cloud using AWS SageMaker, work on voice assistance devices, build Alexa skills, and gain access to GPU-enabled labs. Key Features: ✅ Purdue Alumni Association Membership ✅ Industry-recognized IBM certificates for IBM courses ✅ Enrollment in Simplilearn’s JobAssist ✅ 25+ hands-on Projects on GPU enabled Labs ✅ 450+ hours of Applied learning ✅ Capstone Project in 3 Domains ✅ Purdue Post Graduate Program Certification ✅ Masterclasses from Purdue ✅Get noticed by the top hiring companies 👉Learn more at: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=MachineLearning&utm_medium=Description&utm_source=youtube For more updates on courses and tips follow us on: - Facebook: https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn - LinkedIn: https://www.linkedin.com/company/simplilearn - Website: https://www.simplilearn.com Get the Android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J0
Webinar Indonesia 5G Ecosystem x BISA AI #304 – Tutorial Machine Learning Dengan Ibm Spss Modeler
Webinar Indonesia 5G Ecosystem x BISA AI #304 – Tutorial Machine Learning Dengan Ibm Spss Modeler Di webinar Indonesia 5G Ecosystem x BISA AI #304 kali ini akan dibahas mengenai Tutorial Machine Learning Dengan Ibm Spss Modeler, bersama: - Anak Agung Adi W. K., S.Pd., M.Si Researcher BISA AI Acara ini akan dilaksanakan pada: Sabtu, 23 Januari 2021 13:00 WIB – Selesai Live dari Tampil dan YouTube Tampil Ikuti Instagram Tampil dari sekarang untuk melihat event-event baru dan update kegiatan selanjutnya! Daftar di: tampil.id/event Dan gabung bersama grup telegram BISA AI untuk berdiskusi seputar AI, IT, Programming, Riset dan yang lainnya. --- instagram.com/tampil_id Telegram: t.me/bisa_ai Youtube: youtube.com/tampilid #webinar #bisaai #event#machinelearning#artificialintelligence#modeler#IBM --- 📌 Playlist video event workshop, seminar, dan talkshow dari berbagai narasumber mengenai Python, AI, dll di: https://www.youtube.com/playlist?list=PLwEzEX1KA1ngauZlV1lQLk7XSBtifdSgL --- 📌 Lihat event-event selanjutnya di: https://bisa.ai/tampil/event --- Visit our website at : https://bisa.ai Blog at : https://medium.com/bisa-ai Instagram : https://www.instagram.com/bisa.ai/ Contact Person (BISA.AI) : +62-8211-6654-087 for latest info and events
Friday, January 22, 2021
Webinar Indonesia 5G Ecosystem x BISA AI #304 – Tutorial Machine Learning Dengan Ibm Spss Modeler
Webinar Indonesia 5G Ecosystem x BISA AI #304 – Tutorial Machine Learning Dengan Ibm Spss Modeler Di webinar Indonesia 5G Ecosystem x BISA AI #304 kali ini akan dibahas mengenai Tutorial Machine Learning Dengan Ibm Spss Modeler, bersama: - Anak Agung Adi W. K., S.Pd., M.Si Researcher BISA AI Acara ini akan dilaksanakan pada: Sabtu, 23 Januari 2021 13:00 WIB – Selesai Live dari Tampil dan YouTube Tampil Ikuti Instagram Tampil dari sekarang untuk melihat event-event baru dan update kegiatan selanjutnya! Daftar di: tampil.id/event Dan gabung bersama grup telegram BISA AI untuk berdiskusi seputar AI, IT, Programming, Riset dan yang lainnya. --- instagram.com/tampil_id Telegram: t.me/bisa_ai Youtube: youtube.com/tampilid #webinar #bisaai #event#machinelearning#artificialintelligence#modeler#IBM --- 📌 Playlist video event workshop, seminar, dan talkshow dari berbagai narasumber mengenai Python, AI, dll di: https://www.youtube.com/playlist?list=PLwEzEX1KA1ngauZlV1lQLk7XSBtifdSgL --- 📌 Lihat event-event selanjutnya di: https://bisa.ai/tampil/event --- Visit our website at : https://bisa.ai Blog at : https://medium.com/bisa-ai Instagram : https://www.instagram.com/bisa.ai/ Contact Person (BISA.AI) : +62-8211-6654-087 for latest info and events
Q Learning In Reinforcement Learning | Q Learning Example | Machine Learning Tutorial | Simplilearn
Can we train an AI Model to find the best distance between two points without using an algorithm? The answer is yes! with Q-Learning, we can give life like qualities to our AI! In this video, we will teach you all there is to know about Q-Learning and more! 00:00:00 Introduction to Reinforcement Learning 00:03:03 What is Q-learning 00:04:40 Some important terms 00:05:51 Bellman Equation 00:07:08 Steps in Q-Learning Start learning today's most in-demand skills for FREE. Visit us at https://www.simplilearn.com/skillup-free-online-courses?utm_campaign=MachineLearning&utm_medium=Description&utm_source=youtube Choose over 300 in-demand skills and get access to 1000+ hours of video content for FREE in various technologies like Data Science, Cybersecurity, Project Management & Leadership, Digital Marketing, and much more. ✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH ⏩ Check out the Machine Learning tutorial videos: https://bit.ly/3fFR4f4 #QLearningInReinforcementLearning #QLearningMachineLearning #QLearningReinforcementLearning #MachineLearningForBeginners #QLearningExample #MachineLearningTutorial #MachineLearning #Simplilearn Post Graduate Program in AI and Machine Learning: Ranked #1 AI and Machine Learning course by TechGig Fast track your career with our comprehensive Post Graduate Program in AI and Machine Learning, in partnership with Purdue University and in collaboration with IBM. This AI and machine learning certification program will prepare you for one of the world’s most exciting technology frontiers. This Post Graduate Program in AI and Machine Learning covers statistics, Python, machine learning, deep learning networks, NLP, and reinforcement learning. You will build and deploy deep learning models on the cloud using AWS SageMaker, work on voice assistance devices, build Alexa skills, and gain access to GPU-enabled labs. Key Features: ✅ Purdue Alumni Association Membership ✅ Industry-recognized IBM certificates for IBM courses ✅ Enrollment in Simplilearn’s JobAssist ✅ 25+ hands-on Projects on GPU enabled Labs ✅ 450+ hours of Applied learning ✅ Capstone Project in 3 Domains ✅ Purdue Post Graduate Program Certification ✅ Masterclasses from Purdue ✅Get noticed by the top hiring companies 👉Learn more at: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=MachineLearning&utm_medium=Description&utm_source=youtube For more updates on courses and tips follow us on: - Facebook: https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn - LinkedIn: https://www.linkedin.com/company/simplilearn - Website: https://www.simplilearn.com Get the Android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J0
Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity
#ai #technology #switchtransformer Scale is the next frontier for AI. Google Brain uses sparsity and hard routing to massively increase a model's parameters, while keeping the FLOPs per forward pass constant. The Switch Transformer compares favorably to its dense counterparts in terms of speed and sample efficiency and breaks the next magic number: One Trillion Parameters. OUTLINE: 0:00 - Intro & Overview 4:30 - Performance Gains from Scale 8:30 - Switch Transformer Architecture 17:00 - Model-, Data- and Expert-Parallelism 25:30 - Experimental Results 29:00 - Stabilizing Training 32:20 - Distillation into Dense Models 33:30 - Final Comments Paper: https://ift.tt/2XzUl7Y Codebase T5: https://ift.tt/2OXYcIU Abstract: In deep learning, models typically reuse the same parameters for all inputs. Mixture of Experts (MoE) defies this and instead selects different parameters for each incoming example. The result is a sparsely-activated model -- with outrageous numbers of parameters -- but a constant computational cost. However, despite several notable successes of MoE, widespread adoption has been hindered by complexity, communication costs and training instability -- we address these with the Switch Transformer. We simplify the MoE routing algorithm and design intuitive improved models with reduced communication and computational costs. Our proposed training techniques help wrangle the instabilities and we show large sparse models may be trained, for the first time, with lower precision (bfloat16) formats. We design models based off T5-Base and T5-Large to obtain up to 7x increases in pre-training speed with the same computational resources. These improvements extend into multilingual settings where we measure gains over the mT5-Base version across all 101 languages. Finally, we advance the current scale of language models by pre-training up to trillion parameter models on the "Colossal Clean Crawled Corpus" and achieve a 4x speedup over the T5-XXL model. Authors: William Fedus, Barret Zoph, Noam Shazeer Links: TabNine Code Completion (Referral): http://bit.ly/tabnine-yannick YouTube: https://www.youtube.com/c/yannickilcher Twitter: https://twitter.com/ykilcher Discord: https://ift.tt/3dJpBrR BitChute: https://ift.tt/38iX6OV Minds: https://ift.tt/37igBpB Parler: https://ift.tt/38tQU7C LinkedIn: https://ift.tt/2Zo6XRA BiliBili: https://ift.tt/3mfyjkW If you want to support me, the best thing to do is to share out the content :) If you want to support me financially (completely optional and voluntary, but a lot of people have asked for this): SubscribeStar: https://ift.tt/2DuKOZ3 Patreon: https://ift.tt/390ewRH Bitcoin (BTC): bc1q49lsw3q325tr58ygf8sudx2dqfguclvngvy2cq Ethereum (ETH): 0x7ad3513E3B8f66799f507Aa7874b1B0eBC7F85e2 Litecoin (LTC): LQW2TRyKYetVC8WjFkhpPhtpbDM4Vw7r9m Monero (XMR): 4ACL8AGrEo5hAir8A9CeVrW8pEauWvnp1WnSDZxW7tziCDLhZAGsgzhRQABDnFy8yuM9fWJDviJPHKRjV4FWt19CJZN9D4n
All Duckies Shall Pass! 🐣
❤️ Check out Lambda here and sign up for their GPU Cloud: https://ift.tt/35NkCT7 📝 The paper "Interlinked SPH Pressure Solvers for Strong Fluid-Rigid Coupling" is available here: https://ift.tt/2IOyK78 📸 Our Instagram page is available here: https://ift.tt/2KBCNkT 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Haro, Alex Serban, Alex Paden, Andrew Melnychuk, Angelos Evripiotis, Benji Rabhan, Bruno Mikuš, Bryan Learn, Christian Ahlin, Eric Haddad, Eric Lau, Eric Martel, Gordon Child, Haris Husic, Jace O'Brien, Javier Bustamante, Joshua Goller, Lorin Atzberger, Lukas Biewald, Matthew Allen Fisher, Michael Albrecht, Nikhil Velpanur, Owen Campbell-Moore, Owen Skarpness, Ramsey Elbasheer, Robin Graham, Steef, Taras Bobrovytsky, Thomas Krcmar, Torsten Reil, Tybie Fitzhugh. If you wish to support the series, click here: https://ift.tt/2icTBUb Károly Zsolnai-Fehér's links: Instagram: https://ift.tt/2KBCNkT Twitter: https://twitter.com/twominutepapers Web: https://ift.tt/1NwkG9m
Thursday, January 21, 2021
Introduction to Machine Learning
Machine Learning Series By Emphuture Machine Learning Series will help to understand and learn Machine Learning concepts in detail. Machine Learning Tutorial is ideal for beginners. In this video we have covered basics of machine learning that will help you in Machine Learning journey. Python BootCamp for ML : NumPy revision : https://youtu.be/JdY2yvGK0Ak ------------------------------------ Follow Us : LinkedIn : https://www.linkedin.com/company/emphuture -------------------------------------- Got a question on the topic? Please share it in the comment section below and our experts will answer it for you or u can write us at support@emphuture.com #ML #python #MachineLearning #emphuture #AI #futuretech #ArtificialIntelligence #LabeledData #Unlabeled Data #learning #ml #machinelearning #Supervised Learning #2021 #mobilelearning #tutorials #learningonline #machinelearningtutorial #machinelearningcourse #machinelearningfullcourse #machinelearningemphuture #machinelearningtrendsin2020 #machinelearningusingpython #pythontraining #machine learning course #machine learning tutorial #are machine learning and artificial intelligence the same #machine learning how to start #unsupervised learning
Wednesday, January 20, 2021
Introduction to Machine Learning
Machine Learning Series By Emphuture Machine Learning Series will help to understand and learn Machine Learning concepts in detail. Machine Learning Tutorial is ideal for beginners. In this video we have covered basics of machine learning that will help you in Machine Learning journey. Python BootCamp for ML : NumPy revision : https://youtu.be/JdY2yvGK0Ak ------------------------------------ Follow Us : LinkedIn : https://www.linkedin.com/company/emphuture -------------------------------------- Got a question on the topic? Please share it in the comment section below and our experts will answer it for you or u can write us at support@emphuture.com #ML #python #MachineLearning #emphuture #AI #futuretech #ArtificialIntelligence #LabeledData #Unlabeled Data #learning #ml #machinelearning #Supervised Learning #2021 #mobilelearning #tutorials #learningonline #machinelearningtutorial #machinelearningcourse #machinelearningfullcourse #machinelearningemphuture #machinelearningtrendsin2020 #machinelearningusingpython #pythontraining #machine learning course #machine learning tutorial #are machine learning and artificial intelligence the same #machine learning how to start #unsupervised learning
Tuesday, January 19, 2021
Building A Liquid Labyrinth! 🌊
❤️ Check out Perceptilabs and sign up for a free demo here: https://ift.tt/2WIdXXn 📝 The paper "Surface-Only Ferrofluids" is available here: https://ift.tt/3bPwc5P You can follow this research group on Twitter too: https://twitter.com/csgKAUST 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Haro, Alex Serban, Alex Paden, Andrew Melnychuk, Angelos Evripiotis, Benji Rabhan, Bruno Mikuš, Bryan Learn, Christian Ahlin, Eric Haddad, Eric Lau, Eric Martel, Gordon Child, Haris Husic, Jace O'Brien, Javier Bustamante, Joshua Goller, Lorin Atzberger, Lukas Biewald, Matthew Allen Fisher, Michael Albrecht, Nikhil Velpanur, Owen Campbell-Moore, Owen Skarpness, Ramsey Elbasheer, Robin Graham, Steef, Taras Bobrovytsky, Thomas Krcmar, Torsten Reil, Tybie Fitzhugh. If you wish to support the series, click here: https://ift.tt/2icTBUb Károly Zsolnai-Fehér's links: Instagram: https://ift.tt/2KBCNkT Twitter: https://twitter.com/twominutepapers Web: https://ift.tt/1NwkG9m #ferrofluid
Monday, January 18, 2021
Introduction to Data Analytics using R | Data Types 3.1 | AI/ML Tutorial
Imurgence, was founded to leverage training expertise and the resource building capabilities inherited from Simple and Real Analytics. The Certificate version of the same course is available on imurgence.com under the course name iDS Plus without any charges. On YouTube we cannot have the Project Submission, Certificate completion and data management , so the same is made available on website without any cost. The Course is a lucid one which help a beginner to Learn concepts of data analytics, data science and advanced machine learning using R and Python with hands-on case study. At the end of the course the user would be able to apply the leanings on practical used cases in business. Upon successful completion of this course, the learner will be skilled in Machine Learning and AI using R & Python. Target Audience This course is ideal for anyone looking to improve their skills or start a career in data science, business analytics, artificial intelligence (AI) or machine learning. Prerequisites There are no prerequisites for this course. Available on Website same content with the following Type of Certification Certificate of Completion Format of Certification Digital Professional Association/Affiliation The certificate is issued by Imurgence an autonomous institution Method of Obtaining Certification Upon successfully completing 80% of this course, the learner will be able to download digital copy of the Certificate and Mark sheet from the Certificates section . The Mark Sheet will keep on updating as the learner progresses towards 100% completion. And also Follow and like our Facebook Page: https://www.facebook.com/Imurgence/ Follow us on Twitter: https://twitter.com/imurgence Follow us @imurgence on Instagram: https://www.instagram.com/imurgence/ Subscribe and like our YouTube Channel: https://www.youtube.com/channel/UCHfrkjoyXZZN207VSfecJ2A Use the Youtube Play list for learning: https://www.youtube.com/channel/UCHfrkjoyXZZN207VSfecJ2A/playlists Like our Company Page on LinkedIn: https://www.linkedin.com/company/imurgence For Blogs visit the link: https://www.imurgence.com/home/blogs Google MyBusiness Listing: https://g.page/Imurgence?we
Introduction to Data Analytics using R | Data Types 3.3 | AI/ML Tutorial
Imurgence, was founded to leverage training expertise and the resource building capabilities inherited from Simple and Real Analytics. The Certificate version of the same course is available on imurgence.com under the course name iDS Plus without any charges. On YouTube we cannot have the Project Submission, Certificate completion and data management , so the same is made available on website without any cost. The Course is a lucid one which help a beginner to Learn concepts of data analytics, data science and advanced machine learning using R and Python with hands-on case study. At the end of the course the user would be able to apply the leanings on practical used cases in business. Upon successful completion of this course, the learner will be skilled in Machine Learning and AI using R & Python. Target Audience This course is ideal for anyone looking to improve their skills or start a career in data science, business analytics, artificial intelligence (AI) or machine learning. Prerequisites There are no prerequisites for this course. Available on Website same content with the following Type of Certification Certificate of Completion Format of Certification Digital Professional Association/Affiliation The certificate is issued by Imurgence an autonomous institution Method of Obtaining Certification Upon successfully completing 80% of this course, the learner will be able to download digital copy of the Certificate and Mark sheet from the Certificates section . The Mark Sheet will keep on updating as the learner progresses towards 100% completion. And also Follow and like our Facebook Page: https://www.facebook.com/Imurgence/ Follow us on Twitter: https://twitter.com/imurgence Follow us @imurgence on Instagram: https://www.instagram.com/imurgence/ Subscribe and like our YouTube Channel: https://www.youtube.com/channel/UCHfrkjoyXZZN207VSfecJ2A Use the Youtube Play list for learning: https://www.youtube.com/channel/UCHfrkjoyXZZN207VSfecJ2A/playlists Like our Company Page on LinkedIn: https://www.linkedin.com/company/imurgence For Blogs visit the link: https://www.imurgence.com/home/blogs Google MyBusiness Listing: https://g.page/Imurgence?we
Sunday, January 17, 2021
Machine Learning - Predicting Wine Quality - Use Case
Datafiles and Code here: http://tinyurl.com/diy-ai-ml Free Machine learning tutorials: http://tinyurl.com/freemachinelearning Machine Learning - Predicting Wine Quality - Use Case Send an email to bharati.dwconsultancy@gmail.com for a access to a free Google Classroom based Machine Learning bootcamp course. ML Use Case - Customer Churn Analysis - DIY Do it yourself Google Drive: Data used for the TensorFlow real world tutorial: https://tinyurl.com/u3plpj3 Confusion Matrix Explained k-Nearest Neighbor: https://www.youtube.com/watch?v=4xhEgCOgjIo # YouTube Video Series: https://www.youtube.com/watch?v=UUXBNQ6D-Rw Introduction to Pandas: https://www.youtube.com/watch?v=i8obZvU-TTk - Join Facebook group: https://www.facebook.com/groups/2505896036308584/
Introduction to Data Analytics using R | Data Types 3.4 | AI/ML Tutorial
Imurgence, was founded to leverage training expertise and the resource building capabilities inherited from Simple and Real Analytics. The Certificate version of the same course is available on imurgence.com under the course name iDS Plus without any charges. On YouTube we cannot have the Project Submission, Certificate completion and data management , so the same is made available on website without any cost. The Course is a lucid one which help a beginner to Learn concepts of data analytics, data science and advanced machine learning using R and Python with hands-on case study. At the end of the course the user would be able to apply the leanings on practical used cases in business. Upon successful completion of this course, the learner will be skilled in Machine Learning and AI using R & Python. Target Audience This course is ideal for anyone looking to improve their skills or start a career in data science, business analytics, artificial intelligence (AI) or machine learning. Prerequisites There are no prerequisites for this course. Available on Website same content with the following Type of Certification Certificate of Completion Format of Certification Digital Professional Association/Affiliation The certificate is issued by Imurgence an autonomous institution Method of Obtaining Certification Upon successfully completing 80% of this course, the learner will be able to download digital copy of the Certificate and Mark sheet from the Certificates section . The Mark Sheet will keep on updating as the learner progresses towards 100% completion. And also Follow and like our Facebook Page: https://www.facebook.com/Imurgence/ Follow us on Twitter: https://twitter.com/imurgence Follow us @imurgence on Instagram: https://www.instagram.com/imurgence/ Subscribe and like our YouTube Channel: https://www.youtube.com/channel/UCHfrkjoyXZZN207VSfecJ2A Use the Youtube Play list for learning: https://www.youtube.com/channel/UCHfrkjoyXZZN207VSfecJ2A/playlists Like our Company Page on LinkedIn: https://www.linkedin.com/company/imurgence For Blogs visit the link: https://www.imurgence.com/home/blogs Google MyBusiness Listing: https://g.page/Imurgence?we
Introduction to Data Analytics using R | Data Types 3.6 | AI/ML Tutorial
Imurgence, was founded to leverage training expertise and the resource building capabilities inherited from Simple and Real Analytics. The Certificate version of the same course is available on imurgence.com under the course name iDS Plus without any charges. On YouTube we cannot have the Project Submission, Certificate completion and data management , so the same is made available on website without any cost. The Course is a lucid one which help a beginner to Learn concepts of data analytics, data science and advanced machine learning using R and Python with hands-on case study. At the end of the course the user would be able to apply the leanings on practical used cases in business. Upon successful completion of this course, the learner will be skilled in Machine Learning and AI using R & Python. Target Audience This course is ideal for anyone looking to improve their skills or start a career in data science, business analytics, artificial intelligence (AI) or machine learning. Prerequisites There are no prerequisites for this course. Available on Website same content with the following Type of Certification Certificate of Completion Format of Certification Digital Professional Association/Affiliation The certificate is issued by Imurgence an autonomous institution Method of Obtaining Certification Upon successfully completing 80% of this course, the learner will be able to download digital copy of the Certificate and Mark sheet from the Certificates section . The Mark Sheet will keep on updating as the learner progresses towards 100% completion. And also Follow and like our Facebook Page: https://www.facebook.com/Imurgence/ Follow us on Twitter: https://twitter.com/imurgence Follow us @imurgence on Instagram: https://www.instagram.com/imurgence/ Subscribe and like our YouTube Channel: https://www.youtube.com/channel/UCHfrkjoyXZZN207VSfecJ2A Use the Youtube Play list for learning: https://www.youtube.com/channel/UCHfrkjoyXZZN207VSfecJ2A/playlists Like our Company Page on LinkedIn: https://www.linkedin.com/company/imurgence For Blogs visit the link: https://www.imurgence.com/home/blogs Google MyBusiness Listing: https://g.page/Imurgence?we
STOCHASTIC MEME DESCENT - Deep Learning Meme Review - Episode 2 (Part 2 of 2)
#memes #science #ai Part 2 of Antonio and me examining the latest and greatest of deep learning memes. Music: Sunshower - LATASHÁ Papov - Yung Logos Sunny Days - Anno Domini Beats Trinity - Jeremy Blake More memes: facebook.com/convolutionalmemes Links: YouTube: https://www.youtube.com/c/yannickilcher Twitter: https://twitter.com/ykilcher Discord: https://ift.tt/3dJpBrR BitChute: https://ift.tt/38iX6OV Minds: https://ift.tt/37igBpB Parler: https://ift.tt/38tQU7C LinkedIn: https://ift.tt/2Zo6XRA BiliBili: https://ift.tt/3mfyjkW If you want to support me, the best thing to do is to share out the content :) If you want to support me financially (completely optional and voluntary, but a lot of people have asked for this): SubscribeStar: https://ift.tt/2DuKOZ3 Patreon: https://ift.tt/390ewRH Bitcoin (BTC): bc1q49lsw3q325tr58ygf8sudx2dqfguclvngvy2cq Ethereum (ETH): 0x7ad3513E3B8f66799f507Aa7874b1B0eBC7F85e2 Litecoin (LTC): LQW2TRyKYetVC8WjFkhpPhtpbDM4Vw7r9m Monero (XMR): 4ACL8AGrEo5hAir8A9CeVrW8pEauWvnp1WnSDZxW7tziCDLhZAGsgzhRQABDnFy8yuM9fWJDviJPHKRjV4FWt19CJZN9D4n
Saturday, January 16, 2021
OpenAI DALL·E: Fighter Jet For The Mind! ✈️
❤️ Check out Perceptilabs and sign up for a free demo here: https://ift.tt/2WIdXXn 📝 The blog post on "DALL·E: Creating Images from Text" is available here: https://ift.tt/3pPOGH5 Tweet sources: - Code completion: https://twitter.com/gdm3000/status/1151469462614368256 - Website layout: https://twitter.com/sharifshameem/status/1283322990625607681 - Population data: https://twitter.com/pavtalk/status/1285410751092416513 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Haro, Alex Serban, Alex Paden, Andrew Melnychuk, Angelos Evripiotis, Benji Rabhan, Bruno Mikuš, Bryan Learn, Christian Ahlin, Eric Haddad, Eric Lau, Eric Martel, Gordon Child, Haris Husic, Jace O'Brien, Javier Bustamante, Joshua Goller, Lorin Atzberger, Lukas Biewald, Matthew Allen Fisher, Michael Albrecht, Nikhil Velpanur, Owen Campbell-Moore, Owen Skarpness, Ramsey Elbasheer, Robin Graham, Steef, Taras Bobrovytsky, Thomas Krcmar, Torsten Reil, Tybie Fitzhugh. If you wish to support the series, click here: https://ift.tt/2icTBUb Thumbnail background image credits: https://ift.tt/3qxlbu9 Károly Zsolnai-Fehér's links: Instagram: https://ift.tt/2KBCNkT Twitter: https://twitter.com/twominutepapers Web: https://ift.tt/1NwkG9m #openai #dalle
Friday, January 15, 2021
AI Project Architecture, Machine Learning Project Architecture.
Machine Learning And Deep Learning Model Deployment Architecture Using API's. Ada boost, adjusted R square, AI, AlexNet, Anomaly detection, Architecture, Arima, Artificial Intelligence, AWS, Azure, Bagging, BeautifulSoup, Bias, Boosting, CNN, Computer Vision, Cost Function, Cross Validation, Curse of Dimensionality, Data Science, DBSCAN, Decision Tree, Decision tree regressor, Deep Learning, Dimensionality reduction, Django, EDA, Encoders and Decoders, Ensemble approach, exploratory data analysis, Facenet, fast ai, Faster R CNN, Flask, F-Score, Feature Selection, Feature Engineering, Data Cleaning, Handling Categorical Features, Handling Missing Values, Handling Duplicate Values, Handling Outliers, Removing Outliers, Data Scaling, Data Standardization, Data Normalization, Boosting, Bagging, ensemble learning ensemble models ensemble learning. ensemble methods, Model Selection, Model Training, Hyperparameter Tuning Hyperparameter Selection, Cross Validation Feature importance, Dimensionality Reduction, Handling Imbalance Data, Django jango Fast API Tensorflow JS, Tensorlite, Google Cloud Platform, Google Coral, GoogleNet, GPU, Gradient boost, Gradient descent, Hierarchical clustering, Jetwon nano, K Nearest Neighbor, Keras, K-Means, KNN, knn regressor, Lazy learners, LeNet, Linear Regression, Logistics regression, Long Short Term Memory, LSTM, Machine Learning, Matplotlib, ML, Model Deployment, mongodb, Naive bayes, Natural Language Processing, Neural Network, NLP, NumPy, OLS, Opencv, Ordinary Least Squares, Overfitting, Pandas, Paperspace, PCA, Performance, Performance Evaluation, plotly, polynomial Regression, Precision, Principal Component analysis, PyCaret, PyTorch, R square , Randon Forest, Recall, Recurrent Neural Networks, Reinforcement, ResNet, Ridge Regression, RNN, ROC curve, Sarima, Scikit Learn SciPy, Scrappy, seaborn, Semi-supervised, Spacy, Spark, Sqlite, SSD, Stacking, Statsmodels, Supervised, SVM, SVR, TensorFlow, TensorFlow Object Detection, Testing, Textblob, Theano, Time series forecasting, Training, Transfer Learning, underfitting, Unsupervised, Validation, Variance, VGGNet, Web Scrapping, Word2vec, XgBoost, YOLO, You Only Look Once,
Tuesday, January 12, 2021
Light Fields - Videos From The Future! 📸
❤️ Check out Lambda here and sign up for their GPU Cloud: https://ift.tt/35NkCT7 📝 The paper "Immersive Light Field Video with a Layered Mesh Representation" is available here: https://ift.tt/2YlPlFq ❤️ Watch these videos in early access on our Patreon page or join us here on YouTube: - https://ift.tt/2icTBUb - https://www.youtube.com/channel/UCbfYPyITQ-7l4upoX8nvctg/join 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Haro, Alex Serban, Alex Paden, Andrew Melnychuk, Angelos Evripiotis, Benji Rabhan, Bruno Mikuš, Bryan Learn, Christian Ahlin, Eric Haddad, Eric Lau, Eric Martel, Gordon Child, Haris Husic, Jace O'Brien, Javier Bustamante, Joshua Goller, Lorin Atzberger, Lukas Biewald, Matthew Allen Fisher, Michael Albrecht, Nikhil Velpanur, Owen Campbell-Moore, Owen Skarpness, Ramsey Elbasheer, Robin Graham, Steef, Taras Bobrovytsky, Thomas Krcmar, Torsten Reil, Tybie Fitzhugh. If you wish to support the series, click here: https://ift.tt/2icTBUb Károly Zsolnai-Fehér's links: Instagram: https://ift.tt/2KBCNkT Twitter: https://twitter.com/twominutepapers Web: https://ift.tt/1NwkG9m #lightfields
Diving into Deep Learning with lakpa Tamang
A webinar organized by Fewa Academy on Diving into Deep Learning Trainer: Lakpa Tamang, Changwon National University, South Korea Website: https://fewa.academy/ Subscribe the channel for more educational videos. #FewaAcademy #Webinar #fewalab #Artificial Intelligence #Machine Learning #Deep Learning
Machine Learning Full Course Part 1 - learn machine learning 26 Hours | Machine learning tutorial
This course is 26 hour long so i divided it in 3 parts , This is first part of the course, here is second part of the course https://youtu.be/ib3i78CEqDk here is third part of the course https://youtu.be/UQMZImkIBgU Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI.
Machine Learning Full Course Part 3 - learn machine learning 26 Hours | Machine learning tutorial
This course is 26 hour long so i divided it in 3 parts , This is third part of the course , here is second part of the course https://youtu.be/ib3i78CEqDk here is first part of the course https://youtu.be/t4tE6LkGyIY Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI.
The Mona Lisa effect - Made with TensorFlow.js
Today on Made with TensorFlow.js we’re joined by Emily Xie from New York, who’s managed to bring paintings to life using a combination of TensorFlow.js and TensorFlow Core. Hosted by Jason Mayes, Senior Developer Advocate for TensorFlow. Mona Lisa Effect → https://goo.gle/376SehI Mona Lisa blog post → https://goo.gle/343ESku Use the #MadeWithTFJS to share your own creations, and we may feature you in our next show! Catch more #MadeWithTFJS interviews → http://goo.gle/made-with-tfjs Subscribe to the TensorFlow channel → https://goo.gle/TensorFlow
OpenAI CLIP: ConnectingText and Images (Paper Explained)
#ai #openai #technology Paper Title: Learning Transferable Visual Models From Natural Language Supervision CLIP trains on 400 million images scraped from the web, along with text descriptions to learn a model that can connect the two modalities. The core idea is a contrastive objective combined with a large batch size. The resulting model can be turned into arbitrary zero-shot classifiers for new image & text tasks. OUTLINE: 0:00 - Introduction 3:15 - Overview 4:40 - Connecting Images & Text 9:00 - Building Zero-Shot Classifiers 14:40 - CLIP Contrastive Training Objective 22:25 - Encoder Choices 25:00 - Zero-Shot CLIP vs Linear ResNet-50 31:50 - Zero-Shot vs Few-Shot 35:35 - Scaling Properties 36:35 - Comparison on different tasks 37:40 - Robustness to Data Shift 44:20 - Broader Impact Section 47:00 - Conclusion & Comments Paper: https://ift.tt/3oJt7be Blog: https://ift.tt/2Ll48fw Code: https://ift.tt/3ojY7y2 Abstract: State-of-the-art computer vision systems are trained to predict a fixed set of predetermined object categories. This restricted form of supervision limits their generality and usability since additional labeled data is needed to specify any other visual concept. Learning directly from raw text about images is a promising alternative which leverages a much broader source of supervision. We demonstrate that the simple pre-training task of predicting which caption goes with which image is an efficient and scalable way to learn SOTA image representations from scratch on a dataset of 400 million (image, text) pairs collected from the internet. After pre-training, natural language is used to reference learned visual concepts (or describe new ones) enabling zero-shot transfer of the model to downstream tasks. We study the performance of this approach by benchmarking on over 30 different existing computer vision datasets, spanning tasks such as OCR, action recognition in videos, geo-localization, and many types of fine-grained object classification. The model transfers non-trivially to most tasks and is often competitive with a fully supervised baseline without the need for any dataset specific training. For instance, we match the accuracy of the original ResNet-50 on ImageNet zero-shot without needing to use any of the 1.28 million training examples it was trained on. Authors: Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, Ilya Sutskever Links: TabNine Code Completion (Referral): http://bit.ly/tabnine-yannick YouTube: https://www.youtube.com/c/yannickilcher Twitter: https://twitter.com/ykilcher Discord: https://ift.tt/3dJpBrR BitChute: https://ift.tt/38iX6OV Minds: https://ift.tt/37igBpB Parler: https://ift.tt/38tQU7C LinkedIn: https://ift.tt/2Zo6XRA BiliBili: https://ift.tt/3mfyjkW If you want to support me, the best thing to do is to share out the content :) If you want to support me financially (completely optional and voluntary, but a lot of people have asked for this): SubscribeStar: https://ift.tt/2DuKOZ3 Patreon: https://ift.tt/390ewRH Bitcoin (BTC): bc1q49lsw3q325tr58ygf8sudx2dqfguclvngvy2cq Ethereum (ETH): 0x7ad3513E3B8f66799f507Aa7874b1B0eBC7F85e2 Litecoin (LTC): LQW2TRyKYetVC8WjFkhpPhtpbDM4Vw7r9m Monero (XMR): 4ACL8AGrEo5hAir8A9CeVrW8pEauWvnp1WnSDZxW7tziCDLhZAGsgzhRQABDnFy8yuM9fWJDviJPHKRjV4FWt19CJZN9D4n
Monday, January 11, 2021
AI & Machine Learning Workshop: The Tutorial before your Tutorial - Part 4
#MachineLearningTutorial #AI #MachineLearning #Tutorial #ScienceandTechnology #ArtificialIntelligence #TensorFlow #Keras #SupervisedLearning #NeuralNetworks Checkout out Part 1 of this series: https://youtu.be/poQp5N2flOw Checkout out Part 2 of this series: https://youtu.be/3R1ahtudvbM Checkout out Part 3 of this series: https://youtu.be/97CiAjqbCpU Artificial Intelligence and Machine Learning with TensorFlow/Keras is a confusing and sometimes incomprehensible subject to learn on your own. The Google Machine Learning Crash Course is a good tutorial to learn AI/ML if you already have a background on the subject. The purpose of this workshop is the be the tutorial before to take the Google tutorial. I've been there and now I'm ready to pass it forward and share what I've learned. I'm not an expert but I have working code examples that I will use to teach you based on my current level of understanding of the subject. Here is the list of topics explained in this Machine Learning basics video: 1.Topics - (0:24) 2. Introduction to Google Colaboratory - (4:41) 3. Open a Colaboratory Notebook - (2:13) 4. Colaboratory File Menu - (5:33) 5. Colaboratory runtime settings - (6:00) 6. Colaboratory Code and Text Cells - (7:20) 7. Left Panel Table of Content menu - (8:17) 8. Left Panel Code Snippets Menu - (8:42) 9. Left Panel File system Menu - (9:00) 10. Creating and Editing a Text Cell - (9:42) 11. Running Python code in a Code Cell - (11:30) 12. Creating a Code Cell and running Shell and Python commands - (13:10) 13. Clearing Cell output - (6:23) Like/follow us on Facebook: https://www.facebook.com/Black-Magic-AI-109126344070229 Check out our Web site: https://www.blackmagicai.com/ Background Music Royalty Free background music from Bensound.com.
Live BOT Binomo Trading AI Bynary Option - AI Learning #114
This Video Have Purpose For My Historical Analysis of AI Learning on my Trading Bot Application #binomo#tradingbinomolive#livebinomo#binomoindonesia#tradingbotbinomo
Machine Learning Full Course Part 1 - learn machine learning 26 Hours | Machine learning tutorial
This course is 26 hour long so i divided it in 3 parts , This is first part of the course, here is second part of the course https://youtu.be/ib3i78CEqDk here is third part of the course https://youtu.be/UQMZImkIBgU Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI.
Sunday, January 10, 2021
Chatbot v1.0 || Machine learning & AI || SpyrogypserTech
#Chatbot #machinelearning #ai #robotics #technology
Live BOT Binomo Trading AI Bynary Option - AI Learning #112
This Video Have Purpose For My Historical Analysis of AI Learning on my Trading Bot Application #binomo#tradingbinomolive#livebinomo#binomoindonesia#tradingbotbinomo
AI & Machine Learning Workshop: The Tutorial before your Tutorial - Part 4
#MachineLearningTutorial #AI #MachineLearning #Tutorial #ScienceandTechnology #ArtificialIntelligence #TensorFlow #Keras #SupervisedLearning #NeuralNetworks Checkout out Part 1 of this series: https://youtu.be/poQp5N2flOw Checkout out Part 2 of this series: https://youtu.be/3R1ahtudvbM Checkout out Part 3 of this series: https://youtu.be/97CiAjqbCpU Artificial Intelligence and Machine Learning with TensorFlow/Keras is a confusing and sometimes incomprehensible subject to learn on your own. The Google Machine Learning Crash Course is a good tutorial to learn AI/ML if you already have a background on the subject. The purpose of this workshop is the be the tutorial before to take the Google tutorial. I've been there and now I'm ready to pass it forward and share what I've learned. I'm not an expert but I have working code examples that I will use to teach you based on my current level of understanding of the subject. Here is the list of topics explained in this Machine Learning basics video: 1.Topics - (0:24) 2. Introduction to Google Colaboratory - (4:41) 3. Open a Colaboratory Notebook - (2:13) 4. Colaboratory File Menu - (5:33) 5. Colaboratory runtime settings - (6:00) 6. Colaboratory Code and Text Cells - (7:20) 7. Left Panel Table of Content menu - (8:17) 8. Left Panel Code Snippets Menu - (8:42) 9. Left Panel File system Menu - (9:00) 10. Creating and Editing a Text Cell - (9:42) 11. Running Python code in a Code Cell - (11:30) 12. Creating a Code Cell and running Shell and Python commands - (13:10) 13. Clearing Cell output - (6:23) Like/follow us on Facebook: https://www.facebook.com/Black-Magic-AI-109126344070229 Check out our Web site: https://www.blackmagicai.com/ Background Music Royalty Free background music from Bensound.com.
Saturday, January 9, 2021
Chatbot v1.0 || Machine learning & AI || SpyrogypserTech
#Chatbot #machinelearning #ai #robotics #technology
Friday, January 8, 2021
NERFIES: The Selfies of The Future! 🤳
❤️ Check out Weights & Biases and sign up for a free demo here: https://ift.tt/2YuG7Yf ❤️ Their mentioned post is available here: https://ift.tt/2JVwmNm 📝 The paper "Deformable Neural Radiance Fields" is available here: https://ift.tt/2V6gCsO 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Haro, Alex Serban, Alex Paden, Andrew Melnychuk, Angelos Evripiotis, Benji Rabhan, Bruno Mikuš, Bryan Learn, Christian Ahlin, Eric Haddad, Eric Lau, Eric Martel, Gordon Child, Haris Husic, Jace O'Brien, Javier Bustamante, Joshua Goller, Lorin Atzberger, Lukas Biewald, Matthew Allen Fisher, Michael Albrecht, Nikhil Velpanur, Owen Campbell-Moore, Owen Skarpness, Ramsey Elbasheer, Robin Graham, Steef, Taras Bobrovytsky, Thomas Krcmar, Torsten Reil, Tybie Fitzhugh. If you wish to support the series, click here: https://ift.tt/2icTBUb Károly Zsolnai-Fehér's links: Instagram: https://ift.tt/2KBCNkT Twitter: https://twitter.com/twominutepapers Web: https://ift.tt/1NwkG9m #nerfies
Thursday, January 7, 2021
Inside TensorFlow: Parameter server training
In this episode of Inside TensorFlow, Software Engineers Yuefeng Zhou and Haoyu Zhang demonstrate parameter server training. Parameter server training is a common data-parallel method to scale up model training on multiple machines. Parameter server training tutorial → http://goo.gle/2LtWQ98 Watch more Inside TensorFlow → https://goo.gle/Inside-TensorFlow Subscribe to the TensorFlow channel → https://goo.gle/TensorFlow #InsideTensorFlow
machine learning tutorial for beginners in urdu
In this video I Explained Machine Learning in Artificial Intelligence in urdu/Pashto. Facebook account. https://www.facebook.com/profile.php?... #computerscience #Artificial Intelligence #computersciencecourse Software Used: Facebook Live
Wednesday, January 6, 2021
AI & Machine Learning in Geopysics
AI & Machine Learning in Geopysics with mr/ Amr moslim, 02/01/2021 Geophysics AI & Machine Learning SPWLA, SPWLA asu SPWLA student chapter SPWLA Ain Shams university, Cairo, Egypt Each topic has a link that direct you to the tutorial and material. https://cutt.ly/XjdoJlR Contact us asuspwla@gmail.com Follow us on facebook https://m.facebook.com/spwla.asusc/?ref=bookmarks
OpenAI DALL·E: Creating Images from Text (Blog Post Explained)
#openai #science #gpt3 OpenAI's newest model, DALL·E, shows absolutely amazing abilities in generating high-quality images from arbitrary text descriptions. Like GPT-3, the range of applications and the diversity of outputs is astonishing, given that this is a single model, trained on a purely autoregressive task. This model is a significant step towards the combination of text and images in future AI applications. OUTLINE: 0:00 - Introduction 2:45 - Overview 4:20 - Dataset 5:35 - Comparison to GPT-3 7:00 - Model Architecture 13:20 - VQ-VAE 21:00 - Combining VQ-VAE with GPT-3 27:30 - Pre-Training with Relaxation 32:15 - Experimental Results 33:00 - My Hypothesis about DALL·E's inner workings 36:15 - Sparse Attention Patterns 38:00 - DALL·E can't count 39:35 - DALL·E can't global order 40:10 - DALL·E renders different views 41:10 - DALL·E is very good at texture 41:40 - DALL·E can complete a bust 43:30 - DALL·E can do some reflections, but not others 44:15 - DALL·E can do cross-sections of some objects 45:50 - DALL·E is amazing at style 46:30 - DALL·E can generate logos 47:40 - DALL·E can generate bedrooms 48:35 - DALL·E can combine unusual concepts 49:25 - DALL·E can generate illustrations 50:15 - DALL·E sometimes understands complicated prompts 50:55 - DALL·E can pass part of an IQ test 51:40 - DALL·E probably does not have geographical / temporal knowledge 53:10 - Reranking dramatically improves quality 53:50 - Conclusions & Comments Blog: https://ift.tt/3pPOGH5 Links: YouTube: https://www.youtube.com/c/yannickilcher Twitter: https://twitter.com/ykilcher Discord: https://ift.tt/3dJpBrR BitChute: https://ift.tt/38iX6OV Minds: https://ift.tt/37igBpB Parler: https://ift.tt/38tQU7C LinkedIn: https://ift.tt/2Zo6XRA If you want to support me, the best thing to do is to share out the content :) If you want to support me financially (completely optional and voluntary, but a lot of people have asked for this): SubscribeStar: https://ift.tt/2DuKOZ3 Patreon: https://ift.tt/390ewRH Bitcoin (BTC): bc1q49lsw3q325tr58ygf8sudx2dqfguclvngvy2cq Ethereum (ETH): 0x7ad3513E3B8f66799f507Aa7874b1B0eBC7F85e2 Litecoin (LTC): LQW2TRyKYetVC8WjFkhpPhtpbDM4Vw7r9m Monero (XMR): 4ACL8AGrEo5hAir8A9CeVrW8pEauWvnp1WnSDZxW7tziCDLhZAGsgzhRQABDnFy8yuM9fWJDviJPHKRjV4FWt19CJZN9D4n
Tuesday, January 5, 2021
Touchless interfaces for gaming and kiosks - Made with TensorFlow.js
Today on Made with TensorFlow.js we’re joined by Andreas Schallwig from Shanghai. Andreas has been hacking on some pretty impressive demos for touchless interfaces on public smart displays such as photo booths and games. Hosted by Jason Mayes, Senior Developer Advocate for TensorFlow. Use the #MadeWithTFJS to share your own creations, and we may feature you in our next show! Catch more #MadeWithTFJS interviews → http://goo.gle/made-with-tfjs Subscribe to the TensorFlow channel → https://goo.gle/TensorFlow
This AI Gave Elon Musk A Majestic Beard! 🧔
❤️ Check out Weights & Biases and sign up for a free demo here: https://ift.tt/2YuG7Yf ❤️ Their mentioned post is available here: https://ift.tt/39vhPCn 📝 The paper "StyleFlow: Attribute-conditioned Exploration of StyleGAN-generated Images using Conditional Continuous Normalizing Flows" is available here: https://ift.tt/3jBpp03 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Haro, Alex Serban, Alex Paden, Andrew Melnychuk, Angelos Evripiotis, Benji Rabhan, Bruno Mikuš, Bryan Learn, Christian Ahlin, Eric Haddad, Eric Lau, Eric Martel, Gordon Child, Haris Husic, Jace O'Brien, Javier Bustamante, Joshua Goller, Lorin Atzberger, Lukas Biewald, Matthew Allen Fisher, Michael Albrecht, Nikhil Velpanur, Owen Campbell-Moore, Owen Skarpness, Ramsey Elbasheer, Robin Graham, Steef, Taras Bobrovytsky, Thomas Krcmar, Torsten Reil, Tybie Fitzhugh. If you wish to support the series, click here: https://ift.tt/2icTBUb Károly Zsolnai-Fehér's links: Instagram: https://ift.tt/2KBCNkT Twitter: https://twitter.com/twominutepapers Web: https://ift.tt/1NwkG9m
Monday, January 4, 2021
Sunday, January 3, 2021
Top 5 Online AI Chatbots with whom you can talk || artificial intelligence || #amazing facts #2.o
#ArtificialIntelligence #AI #ArtificialIntelligenceTutorial Artificial Intelligence Tutorial | Artificial Intelligence | AI Tutorial | Simplilearn Simplilearn This video on the Artificial Intelligence tutorial will make you learn in detail about the different concepts involved in AI. First, you will understand the basics of AI. Since AI is a combination of Machine Learning and Deep Learning, you will learn about Machine Learning with hands-on demo. Then, you will get an idea about the top 10 applications of Machine Learning. This tutorial will also help you learn about Deep Learning in Python using TensorFlow. You will come across some essential Deep Learning applications. Finally, you will learn how to become an AI Engineer and look at some vital machine learning and deep learning interview questions. Now, let's dive in and learn artificial intelligence in detail. Start learning today's most in-demand skills for FREE. Visit us at https://www.simplilearn.com/skillup-f... Choose over 300 in-demand skills and get access to 1000+ hours of video content for FREE in various technologies like Data Science, Cybersecurity, Project Management & Leadership, Digital Marketing, and much more. Below topics are explained in this Artificial Intelligence tutorial: 1. Introduction to Artificial Intelligence 2. What is Artificial Intelligence 3. Brief history of Artificial Intelligence 4. Types of Artificial Intelligence 5. Artificial of Artificial Intelligence 6. Future of Artificial Intelligence 7. Machine Learning vs Deep Learning vs Artificial Intelligence 8. Human vs Artificial Intelligence 9. What is Machine Learning and Deep Learning? 10. Real-life examples 11. Types of Artificial Intelligence 12. Machine Learning tutorial 13. Why Machine Learning 14. What is Machine Learning 15. Types of Machine Learning 16. Supervised Learning 17. Reinforcement Learning 18. Supervised vs Unsupervised 19. Machine Learning Algorithms 20. Linear regression 21. Decision trees 22. Support Vector Machine 23. Clustering 24. K-means clustering 25. Logistic Regression 26. Applications of Machine Learning 27. What is Deep Learning? 28. What is a Neural Network? Download the Artificial Intelligence Career Guide and take a sneak peek into the #ArtificialIntelligence #Ai #ArtificialIntelligenceTutorial #ArtificialIntelligenceFullCourse #Simplilearn We've partnered with Purdue University and collaborated with IBM to offer you the unique Post Graduate Program in AI and Machine Learning. Learn more about it here - https://www.simplilearn.com/ai-and-ma... Simplilearn’s Artificial Intelligence course provides training in the skills required for a career in AI. You will master TensorFlow, Machine Learning and other AI concepts, plus the programming languages needed to design intelligent agents, deep learning algorithms & advanced artificial neural networks that use predictive analytics to solve real-time decision-making problems without explicit programming. You can gain in-depth knowledge of Artificial Intelligence by taking our Artificial Intelligence certification training course. Those who complete the course will be able to: In This Video you will see interesting , unique and amazing facts.there are some basic indian GK question included which may help people in their day to day life or exam. Hi, I am Chandradev Kumar and I declare that all these Images are taken from Google Image search using Advanced Image Search option. Some Images are used in this video for Reference and Entertainment purpose only. All Images credit goes to those who have taken these photos or created these photos. Follow me on facebook :- https://www.facebook.com/chandradev.kumar.10441861 Follow me on Instagram :- @amaz_ingfacts341 Subscribe my channel :- https://www.youtube.com/channel/UCVIif_MD0MNZKN4pa3wrlYA Disclaimer - video is for educational purpose only.Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for "fair use" for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favor of fair use. ________________________________ Thanks for watching this video. please help us to grow more. ____________________________________ FAIR-USE COPYRIGHT DISCLAIMER 1)This video has no negative impact on the original works (It would actually be positive for them) 2)This video is also for teaching purposes. 3)It is not transformative in nature. 4)I only used bits and pieces of videos/audios to get the point across where necessary. Documentry Library does not own the rights to these video/images clips used in this video. They have, in accordance with fair use, been repurposed with the intent of educating and inspiring others. However, if any content owners would like their images/audio removed
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