Free artificial intelligence and machine learning video tutorial resource: 2022

Saturday, December 31, 2022

The Ultimate Machine Learning Tutorial: Binary Classifier - Part 2

Let's build and train an actual Neural Network using PyTorch for our binary classification task that can determine whether a Pokémon is legendary or not. By the end of this video, you'll have the final tools and knowledge you need to build your own Pokémon classifier. Let's get started! 🌐 Links for Data 🌐 https://www.kaggle.com/datasets/rounakbanik/pokemon https://www.kaggle.com/datasets/arenagrenade/the-complete-pokemon-images-data-set ⬇️ Follow me on my other socials and feel free to DM questions! ⬇️ 📲 Instagram: https://www.instagram.com/m.m.boris/ ⚫⚪ Medium: https://medium.com/@boris.meinardus ================== Timestamps ================ 00:00 - Intro 00:20 - Recap and Imports 01:19 - Hyperparameters and DataLoaders 02:23 - THE NEURAL NETWORK 04:45 - Initialize everything 06:17 - Accuracy Metric 07:35 - THE TRAINING LOOP 11:36 - Model Evaluation 15:11 - Looking at cool specific cases! 16:34 - Outro ============================================= #ai #python #tutorial

Friday, December 30, 2022

NVIDIA’s New AI: Paint With Your Words!

❤️ Check out Lambda here and sign up for their GPU Cloud: https://ift.tt/c7u5UMx 📝 The paper "eDiff-I: Text-to-Image Diffusion Models with Ensemble of Expert Denoisers" is available here: https://ift.tt/qzSDXxf 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Balfanz, Alex Haro, Andrew Melnychuk, Benji Rabhan, Bryan Learn, B Shang, Christian Ahlin, Edward Unthank, Eric Martel, Geronimo Moralez, Gordon Child, Jace O'Brien, Jack Lukic, John Le, Jonas, Jonathan, Kenneth Davis, Klaus Busse, Kyle Davis, Lorin Atzberger, Lukas Biewald, Luke Dominique Warner, Matthew Allen Fisher, Matthew Valle, Michael Albrecht, Michael Tedder, Nevin Spoljaric, Nikhil Velpanur, Owen Campbell-Moore, Owen Skarpness, Rajarshi Nigam, Ramsey Elbasheer, Richard Sundvall, Steef, Taras Bobrovytsky, Ted Johnson, Thomas Krcmar, Timothy Sum Hon Mun, Torsten Reil, Tybie Fitzhugh, Ueli Gallizzi. If you wish to appear here or pick up other perks, click here: https://ift.tt/gQmcbZp Thumbnail background design: Felícia Zsolnai-Fehér - http://felicia.hu Károly Zsolnai-Fehér's links: Mastodon: https://ift.tt/Im0krLG Twitter: https://twitter.com/twominutepapers Web: https://ift.tt/1Ss436R

Thursday, December 29, 2022

NLP tutorial for beginners | Zero to Hero | Video 12 | Keywords extraction using Spacy library

Theory & Practical of Recurrent Neural Network: T: https://youtu.be/dcwg03wrcX4 P: https://youtu.be/aVTBVjLVIrc End to End Text Summarization Project: https://www.youtube.com/watch?v=4xS14UeuYmE Feature Extraction - Word Embedding Theory https://www.youtube.com/watch?v=sRWmyyqP3_Y Feature Extraction - Word Embedding Practical https://www.youtube.com/watch?v=MfH_vYj1cMM Feature Extraction - TF-IDF https://www.youtube.com/watch?v=9mlj2... Feature Extraction - Bag of Words https://www.youtube.com/watch?v=CaLUZ... Around 40 to 50 various Text Preprocessing techniques link: Part 1: https://www.youtube.com/watch?v=SNx2j... Part 2: https://www.youtube.com/watch?v=gXBWw... NLP Playlist: https://www.youtube.com/watch?v=5fOJM... #artificialintelligence #ai #machinelearning #supervisedlearning #unsupervisedlearning #reinforcementlearning #broaderai #technology #pythonprogramming #ml #datascience #python #rnn #sklearntutorials #scikitlearntutorials #pythonTutorial #pythontraining #tensorflow #machinelearning #python #datascience #nlp #nlptraining #naturallanguageprocessing #dataanalytics #datascientist #data #tech #technical #python3 #pythontutorial #textmining #textanalytics #deeplearning #computervision #computerscience #informationtechnology Broader Website: https://broaderai.com/

Artificial intelligence | AI Tutorial for Beginners | Explained in 1 min | Interview Questions

Thank you for Subscribing to TekVerse Channel! If you have not, please do Subscribe now! We at TekVerse hope to give all the scholars out there high-quality videos and classes & webinars regarding all the new technologies that are emerging rapidly. These lectures and seminars are given by highly qualified industrial experts and professors from reputed Universities. Our team will give insights and content regarding trending technologies such as Artificial Intelligence, Machine Learning, Neural networks, Big Data, Cyber Security, Python, RPA, Cypress, Data science, R, PMP, AWS, Cloud computing and many others to come. For more support and career guidance, please do contact our team anytime and we will offer our support 24/7. Music Copyright: Music by "https://pixabay.com/users/orangiromusik-23400753/?utm_source=link-attribution&utm_medium=referral&utm_campaign=music&utm_content=8365" orangiromusik from href="https://pixabay.com/music//?utm_source=link-attribution&utm_medium=referral&utm_campaign=music&utm_content=8365" Pixabay

Tuesday, December 27, 2022

Rate Tokens using Unsupervised Machine Learning- Artificial Intelligence in Blockchain | Tokenomics

Classify Tokens using Machine Learning | Artificial Intelligence in Blockchain | Tokenomics Classify Tokens using Unsupervised Machine Learning | Artificial Intelligence in Blockchain | Tokenomics Github: https://github.com/aiconsultantml/blockchainbeyondbasics/ GCP - Getting Started with BigQuery - Do It Yourself- DIY#1 https://youtu.be/COjGrjQP2mc Flash Loan Arbitrage Step-by-Step Guide | AAVE Flash Loan Solidity Tutorial Borrow tokens with AAVE Flash Loans - Solidity do it yourself tutorials Learn how to make solidity contracts that use flash loans from AAVE. Learn how to Code a Passive Income Solidity Tutorial with Flash Loans Arbitrage uniswap, sushiswap, ethereum How to make money with Flash Loans arbitrage using AAVE Lending Pools in 2023? Blockchain 101: Getting Started with Solidity & Web3 - https://youtu.be/CwqDTTeh_oc What is Blockchain? - https://www.youtube.com/watch?v=apzFDeBx3Ic What is proof of work (POW)? - https://www.youtube.com/watch?v=d1yGPm123A4 What are smart contracts? - https://www.youtube.com/watch?v=IQT5mLMzR1g What is proof of stake POS? - https://www.youtube.com/watch?v=d1yGPm123A4 How to Create a Token (Step-by-Step ERC20 Transferable Token) Create cryptocurrency/Token in 10 min How To Create a Token (Step-by-Step Tutorial ERC20 Token Explained) How to make and sell your own crypto coin or a Token How to make a cryptocurrency in 10 min How to connect a wallet to website? Simple web3 Code to a webpage to a wallet Blockchain Do it yourself Tutorials Blockchain 101 - Getting started with Solidity & Web3 Blockchain for beginners Blockchain DIY Top 10 Blockchain Terminology - A glossary for beginners Top 10 Commonly used Crypto Terms Getting Started with Solidity & Web-3 Web3js tutorials from basics, Web3py Do it yourself Tutorials By, Bharati DW Consultancy cell: +1-562-646-6746 email: bharati.dwconsultancy@gmail.com website: http://www.bharaticonsultancy.in http://bharatidwconsultancy.blogspot.com Twitter: @BharatDWCons Youtube: BharatiDWConsultancy Whatsapp: +1-562-646-6746 (+1-56-COGNOS-46)

Machine Learning Time Series Forecasting on Bitcoin Prices | AI Predictions on Bitcoin Prices

Machine Learning Time Series Forecasting on Bitcoin Prices Classify Tokens using Machine Learning | Artificial Intelligence in Blockchain | Tokenomics Classify Tokens using Unsupervised Machine Learning | Artificial Intelligence in Blockchain | Tokenomics Github: https://github.com/aiconsultantml/blockchainbeyondbasics/ GCP - Getting Started with BigQuery - Do It Yourself- DIY#1 https://youtu.be/COjGrjQP2mc Flash Loan Arbitrage Step-by-Step Guide | AAVE Flash Loan Solidity Tutorial Borrow tokens with AAVE Flash Loans - Solidity do it yourself tutorials Learn how to make solidity contracts that use flash loans from AAVE. Learn how to Code a Passive Income Solidity Tutorial with Flash Loans Arbitrage uniswap, sushiswap, ethereum How to make money with Flash Loans arbitrage using AAVE Lending Pools in 2023? Blockchain 101: Getting Started with Solidity & Web3 - https://youtu.be/CwqDTTeh_oc What is Blockchain? - https://www.youtube.com/watch?v=apzFDeBx3Ic What is proof of work (POW)? - https://www.youtube.com/watch?v=d1yGPm123A4 What are smart contracts? - https://www.youtube.com/watch?v=IQT5mLMzR1g What is proof of stake POS? - https://www.youtube.com/watch?v=d1yGPm123A4 How to Create a Token (Step-by-Step ERC20 Transferable Token) Create cryptocurrency/Token in 10 min How To Create a Token (Step-by-Step Tutorial ERC20 Token Explained) How to make and sell your own crypto coin or a Token How to make a cryptocurrency in 10 min How to connect a wallet to website? Simple web3 Code to a webpage to a wallet Blockchain Do it yourself Tutorials Blockchain 101 - Getting started with Solidity & Web3 Blockchain for beginners Blockchain DIY Top 10 Blockchain Terminology - A glossary for beginners Top 10 Commonly used Crypto Terms Getting Started with Solidity & Web-3 Web3js tutorials from basics, Web3py Do it yourself Tutorials By, Bharati DW Consultancy cell: +1-562-646-6746 email: bharati.dwconsultancy@gmail.com website: http://www.bharaticonsultancy.in http://bharatidwconsultancy.blogspot.com Twitter: @BharatDWCons Youtube: BharatiDWConsultancy Whatsapp: +1-562-646-6746 (+1-56-COGNOS-46)

Monday, December 26, 2022

AI ART Wednesday be like

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Rate Tokens using Unsupervised Machine Learning- Artificial Intelligence in Blockchain | Tokenomics

Machine Learning Time Series Forecasting on Bitcoin Prices | AI Predictions on Bitcoin Prices

Saturday, December 24, 2022

MCS224 ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TEE JUNE 2022 | Obtain Disjunctive Normal Form

MCS224 ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TEE JUNE 2022 | Obtain Disjunctive Normal Form MASTER OF COMPUTER APPLICATIONS (MCA-NEW) Term-End Examination June 2022 MCS-224: ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING (d) Obtain Disjunctive Normal Form for the well form formula given below : ~ (A → (~ B conjunction C)) Channel Playlists Python https://www.youtube.com/playlist?list=PLJE3Amhvxsjcyyda39jp74zUVujSXVMNa PHP https://www.youtube.com/playlist?list=PLJE3AmhvxsjeO5GPpsUEO94ApCpaN-DYJ JAVA https://www.youtube.com/playlist?list=PLJE3AmhvxsjeKzYaKUN-0oR_mMuF416yi C++ https://www.youtube.com/playlist?list=PLJE3Amhvxsjec2VMWN11x8UQWD9_VuJk4 C Tutorial https://www.youtube.com/playlist?list=PLJE3Amhvxsjcv57PEVWZ4VPGHLoq_L1pm IGNOU MCS-013 Discrete Mathematics TEE 2020 Solution https://www.youtube.com/playlist?list=PLJE3Amhvxsjc0lD41pKGBjewovCnlUemK IGNOU Assignment Solution https://www.youtube.com/playlist?list=PLJE3AmhvxsjfyzR3MIAncWFcyR474tJGx CCC https://www.youtube.com/playlist?list=PLJE3AmhvxsjfA0GeK67gUIit6YDgdwWKj Learn C, C++, JAVA, PHP, Python Program in One Video https://www.youtube.com/playlist?list=PLJE3AmhvxsjefXZGR6AG7nRUADy61K61x IGNOU Previous Year Question Paper Solution | IGNOU TEE Preparation https://www.youtube.com/playlist?list=PLJE3AmhvxsjcHOgSJg0nn5w1CWe35be-1 Blogger: https://gauravpalimca.blogspot.com/ Social Media Links YouTube: https://www.youtube.com/gauravpali Facebook: https://www.facebook.com/gauravp2384/ Twitter: https://twitter.com/GauravPali3 Instagram: https://www.instagram.com/gauravpali23/

Friday, December 23, 2022

Create Beautiful AI Art Using Python KerasCV StableDiffusion on Google Colab | Deep Learning

Stable diffusion is an open source text-to-image deep learning model by [stability.ai](http://stability.ai/). In this tutorial, we will talk about how to use the KerasCV’s implementation of stable diffusion to generate beautiful images based on text descriptions. We will talk about: 👉 How to set up runtime? 👉 How to generate multiple images using text descriptions? 👉 How to save the generated images? ⏰ Timecodes ⏰ 0:00 - Intro 0:21 - Step 1: Set GPU as Runtime Type 0:44 - Step 2: Install and Import Libraries 1:10 - Step 3: Construct Model 1:32 - Step 4: Function for Plotting Images 1:46 - Step 5: Generate Images 2:32 - Step 6: Save Images ❤️ Blog post with code for this video: https://medium.com/grabngoinfo/creat-beautiful-ai-art-using-python-kerascv-stablediffusion-on-google-colab-628ded302047 📒 Code Notebook: https://mailchi.mp/f047773451b3/clh632e5wp 🚛 GrabNGoInfo Machine Learning Tutorials Inventory: https://medium.com/grabngoinfo/grabngoinfo-machine-learning-tutorials-inventory-9b9d78ebdd67 🙏 Give me a tip to show your appreciation and help me keep providing free content: https://www.paypal.com/donate/?hosted_button_id=4PZAFYA8GU8JW ✅ Join Medium Membership: If you are not a Medium member and want to support me to keep providing free content (😄 Buy me a cup of coffee ☕), join Medium membership through this link: https://medium.com/@AmyGrabNGoInfo/membership You will get full access to posts on Medium for $5 per month, and I will receive a portion of it. Thank you for your support! 🎞️ Deep Learning playlist: https://www.youtube.com/playlist?list=PLVppujud2yJqk0VRts7ylIoIzfBkA_3WT 📺 Videos mentioned in the video: Google Colab Tutorial for Beginners: https://www.youtube.com/watch?v=nN0N_ZT2XYg&list=PLVppujud2yJpPpGIeKjCnkdmGVDlhB9ud&index=2 🔥 Check out more machine learning tutorials on my website! https://grabngoinfo.com/tutorials/ 🛎️ SUBSCRIBE to GrabNGoInfo https://bit.ly/3keifBY 📧 CONTACT me at contact@grabngoinfo.com #stablediffusion #keras #deeplearning #MachineLearning #DataScience #GrabNGoInfo

Wednesday, December 21, 2022

Kaggle to build Data Science and Machine Learning Projects

This video is a complete tutorial for Kaggle Data Science Platform. Kaggle is an online community of data scientists and machine learning practitioners. TIMESTAMPS 00:00:15 - What is Kaggle 00:00:38 - Five main sections of Kaggle 00:02:57 - Training Programs related to Space and Astronomy 00:03:37 - Create and Verify your account on Kaggle 00:04:43 - How to use Kaggle's Competitions 00:08:28 - How to use Kaggle's Datasets 00:09:40 - How to create a Kaggle Notebook and use it efficiently 00:21:29 - How to use Kaggle's Discussion Forum 00:22:09 - How to use Kaggle's Courses 00:23:06 - Brief introduction on Kaggle's Progression System ------------------------------------------------------------------------------------------------------------ We are Spartificial, an AI and Space Research company where we majorly focus on project-based learning. We are currently working on deploying different cutting-edge technologies like AI and Robotics in Space Exploration, Earth Observation and more. We have a community of AI and Space enthusiasts looking for opportunities in the domain of AI and Space technologies. Follow us to know more: Website: https://www.spartificial.com Instagram: https://www.instagram.com/spartificial_/ Linkedin: https://www.linkedin.com/company/spartificial/ ------------------------------------------------------------------------------------------------------- kaggle tutorial machine learning for space-tech ai projects artificial intelligence ML projects real world machine learning projects video tutorial machine learning certification project project certificate

Tuesday, December 20, 2022

NLP tutorial for beginners | Zero to Hero | Video 11 | Practical Implementation of RNN

In this video, you are going to learn how to perform sentiment analysis task using RNN Theory of Recurrent Neural Network: https://youtu.be/dcwg03wrcX4 End to End Text Summarization Project: https://www.youtube.com/watch?v=4xS14UeuYmE Feature Extraction - Word Embedding Theory https://www.youtube.com/watch?v=sRWmyyqP3_Y Feature Extraction - Word Embedding Practical https://www.youtube.com/watch?v=MfH_vYj1cMM Feature Extraction - TF-IDF https://www.youtube.com/watch?v=9mlj2... Feature Extraction - Bag of Words https://www.youtube.com/watch?v=CaLUZ... Around 40 to 50 various Text Preprocessing techniques link: Part 1: https://www.youtube.com/watch?v=SNx2j... Part 2: https://www.youtube.com/watch?v=gXBWw... NLP Playlist: https://www.youtube.com/watch?v=5fOJM... #artificialintelligence #ai #machinelearning #supervisedlearning #unsupervisedlearning #reinforcementlearning #broaderai #technology #pythonprogramming #ml #datascience #python #rnn #sklearntutorials #scikitlearntutorials #pythonTutorial #pythontraining #tensorflow #machinelearning #python #datascience #nlp #nlptraining #naturallanguageprocessing #dataanalytics #datascientist #data #tech #technical #python3 #pythontutorial #textmining #textanalytics #deeplearning #computervision #computerscience #informationtechnology Broader Website: https://broaderai.com/

Thursday, December 15, 2022

#1 الذكاء الاصطناعي Ai Machine Learning Flutter Intro

#1 تعلم الذكاء الاصطناعي Ai Machine Learning Flutter Intro صفحتي علي فيسبوك : https://www.facebook.com/profile.php?... كورس تعلم لغه دارت بالعربي 2023 "الهم علمنا ما ينفعنا وانفعنا بما علمتنا انك انت العليم الحكيم" Mohamed Ragab keyword: #flutter #dart #ai arftrical intelligence, Machine Learning, الذكاء الاصطناعي, تعلم الالات, programing, chatgpt, transflow lite, transflow, programing language, programing language for beginners, ai programming, programing code, c programing language for beginners, c programing full course, c programing language, dart programming flutter vs react native, flutter app, flutter course, flutter full course, flutter project, flutter animation, flutter app tutorial, flutter api, flutter app project, flutter android studio, flutter architecture, flutter animation tutorial, flutter advanced tutorial, flutter and firebase, flutter api integration, a flutter, a flutter vs afib, a flutter ablation, a flutter sound, a flutter treatment, a flutter ekg, a flutter sdk must be specified for project creation, flutter chat app with firebase, flutter crash course 2022, flutter calculator app, flutter card, flutter desktop, flutter development, flutter desktop app, flutter design, flutter drawer, flutter dart, flutter dashboard, flutter developer salary, flutter dart tutorial, flutter dio, flutter explained, flutter e commerce full app, flutter ecommerce app with firebase, flutter echo, dart & flutter, firebase in flutter, flutter firebase دارت فلاتر تعلم فلاتر كورس تعلم فلاتر انشاء مشروع فلاتر كورس تعلم دارت برمجه تطبيقات الجوال برمجه

#2 الذكاء الاصطناعي Ai Machine Learning Downgrade Flutter 3

#2 الذكاء الاصطناعي Ai Machine Learning Downgrade Flutter 3 صفحتي علي فيسبوك : https://www.facebook.com/profile.php?... كورس تعلم لغه دارت بالعربي 2023 "الهم علمنا ما ينفعنا وانفعنا بما علمتنا انك انت العليم الحكيم" Mohamed Ragab keyword: #flutter #dart #ai arftrical intelligence, Machine Learning, الذكاء الاصطناعي, تعلم الالات, programing, chatgpt, transflow lite, transflow, programing language, programing language for beginners, ai programming, programing code, c programing language for beginners, c programing full course, c programing language, dart programming flutter vs react native, flutter app, flutter course, flutter full course, flutter project, flutter animation, flutter app tutorial, flutter api, flutter app project, flutter android studio, flutter architecture, flutter animation tutorial, flutter advanced tutorial, flutter and firebase, flutter api integration, a flutter, a flutter vs afib, a flutter ablation, a flutter sound, a flutter treatment, a flutter ekg, a flutter sdk must be specified for project creation, flutter chat app with firebase, flutter crash course 2022, flutter calculator app, flutter card, flutter desktop, flutter development, flutter desktop app, flutter design, flutter drawer, flutter dart, flutter dashboard, flutter developer salary, flutter dart tutorial, flutter dio, flutter explained, flutter e commerce full app, flutter ecommerce app with firebase, flutter echo, dart & flutter, firebase in flutter, flutter firebase دارت فلاتر تعلم فلاتر كورس تعلم فلاتر انشاء مشروع فلاتر كورس تعلم دارت برمجه تطبيقات الجوال برمجه

Wednesday, December 14, 2022

NLP tutorial for beginners | Zero to Hero | Video 10 | Recurrent Neural Network (RNN)

In this video, you are going to learn about Recurrent Neural Network with simple and easy explanation. End to End Text Summarization Project: https://www.youtube.com/watch?v=4xS14UeuYmE Feature Extraction - Word Embedding Theory https://www.youtube.com/watch?v=sRWmyyqP3_Y Feature Extraction - Word Embedding Practical https://www.youtube.com/watch?v=MfH_vYj1cMM Feature Extraction - TF-IDF https://www.youtube.com/watch?v=9mlj2... Feature Extraction - Bag of Words https://www.youtube.com/watch?v=CaLUZ... Around 40 to 50 various Text Preprocessing techniques link: Part 1: https://www.youtube.com/watch?v=SNx2j... Part 2: https://www.youtube.com/watch?v=gXBWw... NLP Playlist: https://www.youtube.com/watch?v=5fOJM... #artificialintelligence #ai #machinelearning #supervisedlearning #unsupervisedlearning #reinforcementlearning #broaderai #technology #pythonprogramming #ml #datascience #python #rnn #sklearntutorials #scikitlearntutorials #pythonTutorial #pythontraining #tensorflow #machinelearning #python #datascience #nlp #nlptraining #naturallanguageprocessing #dataanalytics #datascientist #data #tech #technical #python3 #pythontutorial #textmining #textanalytics #deeplearning #computervision #computerscience #informationtechnology Broader Website: https://broaderai.com/

Monday, December 12, 2022

Building and Deploying Machine Learning Solutions with Vertex AI Challenge Lab GSP354

Challenge scenario You were recently hired as a Machine Learning Engineer at a startup movie review website. Your manager has tasked you with building a machine learning model to classify the sentiment of user movie reviews as positive or negative. These predictions will be used as an input in downstream movie rating systems and to surface top supportive and critical reviews on the movie website application. The challenge: your business requirements are that you have just 6 weeks to productionize a model that achieves great than 75% accuracy to improve upon an existing bootstrapped solution. Furthermore, after doing some exploratory analysis in your startup's data warehouse, you found that you only have a small dataset of 50k text reviews to build a higher performing solution. Your challenge To build and deploy a high performance machine learning model with limited data quickly, you will walk through training and deploying a custom TensorFlow BERT sentiment classifier for online predictions on Google Cloud's Vertex AI platform. Vertex AI is Google Cloud's next generation machine learning development platform where you can leverage the latest ML pre-built components and AutoML to significantly enhance your development productivity, the ability to scale your workflow and decision making with your data, and accelerate time to value. First, you will progress through a typical experimentation workflow where you will build your model from pre-trained BERT components from TF-Hub and tf.keras classification layers to train and evaluate your model in a Vertex Notebook. You will then package your model code into a Docker container to train on Google Cloud's Vertex AI. Lastly, you will define and run a Kubeflow Pipeline on Vertex Pipelines that trains and deploys your model to a Vertex Endpoint that you will query for online predictions. #gcp #googlecloud #qwiklabs

Monday, December 5, 2022

Artificial Intelligence on Cloud (FREE Workshop) tutorials || by Sasmitha On 04-12-2022 @10AM IST

Artificial Intelligence on Cloud (AWS Sagemaker, Azure) For Data Engineers and Data Scientist (FREE Workshop) tutorials || by Mrs. Sasmitha On 04-12-2022 @10AM IST ========================================================================================================= To get latest DURGASOFT updates on trending Technologies, Please Subscribe to Our Telegram Channel: LINK: https://t.me/durgasoftupdates ========================================= You an see more Java videos following link: Java tutorial by durga sir https://goo.gl/XWb4RL Java 9 by durga sir https://goo.gl/hXGyBW Java 1.8 Version New Features by Durga sir https://goo.gl/iHXXYU Adv Java JDBC Tutorial by Durga sir https://goo.gl/8q16Eo OCJA 1.8 Java SE 8 Programmer - I (1Z0 - 808 ) By Durga sir https://goo.gl/gC6R7f Core Java by NagoorBabu sir https://goo.gl/s6Nvj1 Advenced Java by Nagoorbabu sir https://goo.gl/ZZonzJ CoreJava by Ratan https://goo.gl/3VM19v Advanced Java jdbc by Ratan https://goo.gl/Rn2UXr Advjava tutorials - JSP by Ratan https://goo.gl/Z6ytxm Adv java servlets tutorial by ratan https://goo.gl/zTwi9y Servlet and JSP Tutorial by anji reddy https://goo.gl/jZMRUv Advanced Java Jdbc by Anjireddy https://goo.gl/16CGzX Hibernate byAnjireddy https://goo.gl/qQojvZ Struts by Anjireddy https://goo.gl/nE1Eof Spring by Mr.AnjiReddy https://goo.gl/NfN14R ADV JAVA by Naveen https://goo.gl/bhSsXF Spring by Mr.Naveen https://goo.gl/huVwFN Hibernate by Mr. Naveen https://goo.gl/TY3Wpd Struts by Mr.Naveen https://goo.gl/Vkmiw7 #DURGASOFTWARE #AWS #AZURE

Tuesday, November 22, 2022

Faster dataset annotation and model evaluation with Roboflow - Made with TensorFlow.js

In this episode of Made with TensorFlow, Brad Dwyer talks about Roboflow, a tool that empowers developers to build their own computer vision applications, no matter their skill set or experience. Learn how Roboflow is an end-to-end, computer vision tool chain that has everything you need from collecting images, to annotating them, creating data sets for training, creating a model to then deploy in the wild, and building production apps. Brad shares prominent features and previews of their models for various industries, from pharmaceuticals to gaming including augmented reality which could be great for the Metaverse push going on right now. Try it for yourself: Website: https://goo.gle/3T7A70f Blog Post Writeup: https://goo.gle/3CmLZom Card Recognition Demo: https://goo.gle/3fVprDw Want to be on the show? Use #MadeWithTFJS or #WebML to share your own creations on social media 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

Saturday, November 19, 2022

Galactica: A Large Language Model for Science (Drama & Paper Review)

#ai #galactica #meta Galactica is a language model trained on a curated corpus of scientific documents, such as papers, knowledge bases, reviews, and other articles. The model can be used in a generative fasion to assist scientific writing, do reference prediction, and much more, including a new approach to do step-by-step reasoning using a clever encoding of intermediate steps. This video explains the paper, but also dives into the drama that ensued once Meta released a public demo of the model. OUTLINE: 0:00 - Introduction 1:30 - Drama around the public demo 16:00 - Start of paper review 20:30 - Dataset construction and encoding 23:30 - Encoding step-by-step reasoning using a scratchpad 33:00 - Modelling scientific references & citations 35:05 - Prompt Pre-Training 37:10 - Architecture details 38:30 - Experimental results 49:20 - Conclusion Paper: https://ift.tt/NXriZcj Website: https://ift.tt/MFKoGIR Abstract: Information overload is a major obstacle to scientific progress. The explosive growth in scientific literature and data has made it ever harder to discover useful insights in a large mass of information. Today scientific knowledge is accessed through search engines, but they are unable to organize scientific knowledge alone. In this paper we introduce Galactica: a large language model that can store, combine and reason about scientific knowledge. We train on a large scientific corpus of papers, reference material, knowledge bases and many other sources. We outperform existing models on a range of scientific tasks. On technical knowledge probes such as LaTeX equations, Galactica outperforms the latest GPT-3 by 68.2% versus 49.0%. Galactica also performs well on reasoning, outperforming Chinchilla on mathematical MMLU by 41.3% to 35.7%, and PaLM 540B on MATH with a score of 20.4% versus 8.8%. It also sets a new state-of-the-art on downstream tasks such as PubMedQA and MedMCQA dev of 77.6% and 52.9%. And despite not being trained on a general corpus, Galactica outperforms BLOOM and OPT-175B on BIG-bench. We believe these results demonstrate the potential for language models as a new interface for science. We open source the model for the benefit of the scientific community. Authors: Ross Taylor Marcin Kardas Guillem Cucurull Thomas Scialom Anthony Hartshorn Elvis Saravia Andrew Poulton Viktor Kerkez Robert Stojnic Links: Homepage: https://ykilcher.com Merch: https://ift.tt/hkgtd8C YouTube: https://www.youtube.com/c/yannickilcher Twitter: https://twitter.com/ykilcher Discord: https://ift.tt/XdGpSyt LinkedIn: https://ift.tt/yXB1NJn 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/3Gtnd28 Patreon: https://ift.tt/cPKdH2Q Bitcoin (BTC): bc1q49lsw3q325tr58ygf8sudx2dqfguclvngvy2cq Ethereum (ETH): 0x7ad3513E3B8f66799f507Aa7874b1B0eBC7F85e2 Litecoin (LTC): LQW2TRyKYetVC8WjFkhpPhtpbDM4Vw7r9m Monero (XMR): 4ACL8AGrEo5hAir8A9CeVrW8pEauWvnp1WnSDZxW7tziCDLhZAGsgzhRQABDnFy8yuM9fWJDviJPHKRjV4FWt19CJZN9D4n

Friday, November 18, 2022

Artificial Intelligence Full Course | Artificial Intelligence Tutorial for Beginners | Techpragna

Artificial intelligence is the simulation of human intelligence approaches via way of means of machines, mainly laptop systems. Specific programs of AI consist of professional systems, herbal language processing, speech reputation and system vision. We provide this direction in modes: a) Live trainer Led b) Self – Learning. 🔥Explore our CERTIFICATION Courses: https://www.techpragna.com/Course/Detail/86-artificial-intelligence ✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/3DMkhDn #artificialintelligence #ai #machinelearning #technology #datascience #python #deeplearning #programming #tech #robotics #innovation #bigdata #coding #iot #computerscience #data #dataanalytics #business #engineering #robot #datascientist #art #software #automation #analytics #ml #pythonprogramming #programmer #digitaltransformation #developer #techpragna About Techpragna.NET Programming Course: From TECHPRAGNA E-LEARNING PVT LTD "From TECHPRAGNA "TECHPRAGNA classroom and online e-learning platforms and centers bring together skilled industry instructors, real-life projects and state-of-the-art training infrastructure to create an immersive learning ecosystem and ensure that students have hands-on experience, and are job ready."" Key Features: ✅ Independently create Artificial intelligence program project ✅ Learn advanced techniques and procedures ✅ Industry-recognized course completion certificate. For more updates on courses and tips follow us on: - Facebook:https://www.facebook.com/techpragna.elearning/ - LinkedIn: https://www.linkedin.com/in/tech-pragna-438266249/ - Website: https://www.techpragna.com/ - Instagram:https://www.instagram.com/techpragna_/ Branch: Jayanagara 👉https://bit.ly/3NnSMTH Btm👉 https://bit.ly/3Fvfwzm Shivajinagar👉 https://bit.ly/3NqsobL Number: 080-42237300, 080-41557559& 080-49703646

Wednesday, November 16, 2022

How to hack in AI classes | Teachable Machine tutorial

Have you ever been trapped with all of those CNN, Tensorflow, and Pytorch AI tutorials? Teachable Machine is a simple tool for summarizing what's inside an AI project and making it a piece of cake for you. (No code, No experience, No shitty words) Let's begin with money classification! Source code: https://github.com/mrzaizai2k/Money-classification Media members: - Chi Bao - Mai Ngan Hashtag: #teachablemachine #moneyclassification #AIfromscratch ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Thanks For Watching ✅LIKE ✅SHARE ✅ SUBSCRIBE ✅If you've got any suggestions for future projects, let me know in the comments section. ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Catch me on the web with the links below: 📞Phone/Zalo: +84 32 762 0475 📧 Email: chibao24.12.1999@gmail.com ☎️Telegram: @Chibao_mrzaizai2k 💻 GitHub: https://github.com/mrzaizai2k Upwork/ LinkedIn/ Kaggle: https://bit.ly/Mrzaizai2k_AIchannel ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ If my YouTube videos, GitHub, Kaggle projects help you, consider helping me out by BUYING ME A COFFEE! https://bit.ly/Mrzaizai2k_AIchannel ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ TIMESTAMPS: 0:00 How to hack in AI classes Teachable Machine tutorial 0:44 Teachable Machine Introduction 1:18 Data collecting and preprocessing 2:43 Money classification 3:00 Training and setting parameters 3:42 Accuracy, Loss 4:13 Result of image classification 5:35 Export model and implement of Pycharm 7:56 Implement with OpenCV 8:31 Image classification on webcam

Sunday, November 13, 2022

Deep Learning With Python | Deep Learning Tutorial For Beginners | Edureka Rewind - 2

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 𝐰𝐢𝐭𝐡 𝐓𝐞𝐧𝐬𝐨𝐫𝐟𝐥𝐨𝐰 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 : https://www.edureka.co/ai-deep-learning-with-tensorflow (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎) This video on "Deep Learning with Python" will provide you with detailed and comprehensive knowledge of Deep Learning, How it came into emergence. The various subparts of Data Science, how they are related and How Deep Learning is revolutionalizing the world we live in. This Tutorial covers the following topics: 00:00 Introduction 01:49 Introduction To AI, ML, and DL 02:19 What is Deep Learning 07:30 Applications of Deep Learning 13:27 Structure of Perceptron 16:31 Demo: Perceptron from scratch 23:52 What is a Neural Network ? 26:35 Demo: Creating Deep Neural Nets 📝Feel free to comment your doubts in the comment section below, and we will be happy to answer📝 -------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧--------- 🔵 DevOps Online Training:https://bit.ly/3r7xtvQ 🌕 AWS Online Training: https://bit.ly/3r6sawS 🔵 Azure DevOps Online Training:https://bit.ly/3r8shaX 🌕 Tableau Online Training: https://bit.ly/3LMOLGE 🔵 Power BI Online Training: https://bit.ly/3J9uOrP 🌕 Selenium Online Training: https://bit.ly/3jeSvEx 🔵 PMP Online Training: https://bit.ly/3DNgUKX 🌕 Salesforce Online Training: https://bit.ly/3j8VyxW 🔵 Cybersecurity Online Training: https://bit.ly/3LJBoGV 🌕 Java Online Training: https://bit.ly/35K5hrk 🔵 Big Data Online Training: https://bit.ly/3ugVAua 🌕 RPA Online Training: https://bit.ly/3LIqcKT 🔵 Python Online Training:https://bit.ly/3jbsAxr 🌕 Azure Online Training:https://bit.ly/3j8WOBa 🔵 GCP Online Training: https://bit.ly/3LHJb8g 🌕 Microservices Online Training:https://bit.ly/3r7Xwmt 🔵 Data Science Online Training: https://bit.ly/3r9dgFX ---------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬--------- 🔵 DevOps Engineer Masters Program: https://bit.ly/37p4goY 🌕 Cloud Architect Masters Program: https://bit.ly/35LP0SV 🔵 Data Scientist Masters Program: https://bit.ly/3NULA1q 🌕 Big Data Architect Masters Program:https://bit.ly/38qZTud 🔵 Machine Learning Engineer Masters Program:https://bit.ly/3ueP9rm 🌕 Business Intelligence Masters Program: https://bit.ly/3x9qpT5 🔵 Python Developer Masters Program:https://bit.ly/3j8YYkg 🌕 RPA Developer Masters Program: https://bit.ly/3JgqQ0g 🔵 Web Development Masters Program: https://bit.ly/3KlZJT1 🌕 Computer Science Bootcamp Program : https://bit.ly/3Kg70Uh 🔵 Cyber Security Masters Program: https://bit.ly/3uo98UN 🌕 Full Stack Developer Masters Program : https://bit.ly/3NUlVGb 🔵 Automation Testing Engineer Masters Program : https://bit.ly/3E0rFcZ 🌕 Python Developer Masters Program : https://bit.ly/3j8YYkg 🔵 Azure Cloud Engineer Masters Program: https://bit.ly/3NQb9Ax --------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝗼𝘀𝘁 𝗚𝗿𝗮𝗱𝘂𝗮𝘁𝗲 𝐂𝐨𝐮𝐫𝐬𝐞𝐬-------- 🔵 Artificial and Machine Learning PGD with E & ICT Academy NIT Warangal: https://bit.ly/3Kji6bb 🌕 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3uoajDH 📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟐 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢 ⏩𝐓𝐨𝐩 𝟏𝟎 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟮: https://bit.ly/3yhEs7S ⏩𝐓𝐨𝐩 𝟏𝟎 𝐇𝐢𝐠𝐡𝐞𝐬𝐭 𝐏𝐚𝐲𝐢𝐧𝐠 𝐉𝐨𝐛𝐬 𝐅𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3HcpPG6 ⏩𝐓𝐨𝐩 𝟏𝟎 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬 𝐟𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3FW6F69 ⏩𝐓𝐨𝐩 𝟏𝟎 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3gH57mr 📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates 📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain 📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka 📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/ 📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/ 📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN 📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN 📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/ 📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/ Who should go for this course? The TensorFlow with Python Training is for all the professionals who are passionate about Deep Learning and want to go ahead and make their career as a Deep Learning Engineer. It is best suited for individuals who are: Developers aspiring to be a 'Data Scientist' Analytics Managers who are leading a team of analysts Business Analysts who want to understand Deep Learning (ML) Techniques Information Architects who want to gain expertise in Predictive Analytics Analysts wanting to understand Data Science methodologies However, Deep learning is not just focused on one industry or skill set, it can be used by anyone to enhance their portfolio. Why Should you go for Deep Learning Training with TensorFlow Certification ? If you are good in Python and want to start your journey towards the path of a Data Scientist then this course is definitely for you The course is packed with the algorithms based on latest TensorFlow 2.0 Keras is now integrated with TensorFlow 2.0 thereby making it more powerful Writing codes in TensorFlow is much more easier as compared to the previous version TensorFlow 2.0 is now the most widely used library for Deep Learning The course will gIve you a combined taste of text and image processing

Saturday, November 12, 2022

Deep Learning With Python | Deep Learning Tutorial For Beginners | Edureka Rewind - 2

Thursday, November 10, 2022

ML5G Challenge tutorial #4: Machine Learning Model Optimization and Compression

As part of the Machine Learning in 5G Challenge, this tutorial is open to participants or students who are new to machine learning and their application to communication networks. The tutorial will cover the intermediate ML topics such as model optimization and compression. This will be followed by a Jupyter notebook practice covering model pruning and quantization, and a Q&A session at the end. 🎙 Speakers: Thomas Basikolo‬ Young Expert - AI/ML International Telecommunication Union (ITU) Miya Nishio Student University of Tokyo Join the Neural Network! 👉https://aiforgood.itu.int/neural-network/ The AI for Good networking community platform powered by AI. Designed to help users build connections with innovators and experts, link innovative ideas with social impact opportunities, and bring the community together to advance the SDGs using AI. 🔴 Watch the latest #AIforGood videos! https://www.youtube.com/c/AIforGood/videos Explore more #AIforGood content: 1️⃣ AI for Good Top Hits https://www.youtube.com/playlist?list=PLQqkkIwS_4kXXQWhP4vSr0Rtl13t2Ud2w 2️⃣ AI for Good Webinars https://www.youtube.com/playlist?list=PLQqkkIwS_4kUwDVioxixBf8OYlGAS_9_z 3️⃣ AI for Good Keynotes https://www.youtube.com/playlist?list=PLQqkkIwS_4kUmK6zjiuWWE4fImrbGBWRF 📩 Stay updated and join our weekly AI for Good newsletter: http://eepurl.com/gI2kJ5 📅 Discover what's next on our programme! https://aiforgood.itu.int/programme/ 🗞Check out the latest AI for Good news: https://aiforgood.itu.int/newsroom/ 📱Explore the AI for Good blog: https://aiforgood.itu.int/ai-for-good-blog/ 🌎 Connect on our social media: Website: https://aiforgood.itu.int/ Twitter: https://twitter.com/AIforGood LinkedIn Page: https://www.linkedin.com/company/26511907 LinkedIn Group: https://www.linkedin.com/groups/8567748 Instagram: https://www.instagram.com/aiforgood Facebook: https://www.facebook.com/AIforGood What is AI for Good? We have less than 10 years to solve the UN SDGs and AI holds great promise to advance many of the sustainable development goals and targets. More than a Summit, more than a movement, AI for Good is presented as a year round digital platform where AI innovators and problem owners learn, build and connect to help identify practical AI solutions to advance the United Nations Sustainable Development Goals. AI for Good is organized by ITU in partnership with 40 UN Sister Agencies and co-convened with Switzerland. Disclaimer: The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.

Wednesday, November 9, 2022

ML5G Challenge tutorial #4: Machine Learning Model Optimization and Compression

Tuesday, November 8, 2022

ML5G Challenge tutorial #4: Machine Learning Model Optimization and Compression

Sunday, November 6, 2022

IZI FINGERPRINT - Tutorial #6 - Monitoring Options & Channel Settings

IZI FINGERPRINT - VIDEO AND AUDIO RECOGNITION SOFTWARE IZI-FINGERPRINT - CAPTURE DEVICES SETUP - RECORD TV & RADIO - MACHINE LEARNING AI (DEEP LEARNING) IZI-FINGERPRINT IS A SOFTWARE DESIGNED FOR RECORDING VIDEO AND AUDIO FROM VARIOUS SOURCES SUCH AS EXTERNAL DEVICES, ONLINE MEDIAS, WEBCAMS, YOUTUBE, LIVE STREAMS, CCTV CAMERAS, ETC. RECORDS MULTIPLE CHANNELS AND DEVICES SIMULTANEOUSLY. ALLOWS FOR CREATING DIGITAL FINGERPRINTS OF VIDEO AND AUDIO FILES TO BE AUTOMATICALLY DETECTED IF TRANSMITTED IN ANY OF THE MONITORED SOURCES. IT IS USED FOR MEDIA VERIFICATION PURPOSES FOR MEDIA AND ADVERTISING AGENCIES, GOVERNMENT AGENCIES, AND MANY OTHERS. - RECORD TV, RADIO, WEBCAMS, CCTV - MONITOR FINGERPRINTS AND LOGOS/BRANDS - AUTO GENERATED DETAILED REPORTS OF DETECTIONS THE SOFTWARE ALSO INCLUDES BRAND RECOGNITION (OBJECT DETECTION) WITH AI (ARTIFICIAL INTELLIGENCE) MACHINE LEARNING. MODELS CAN BE TRAINED TO DETECT ANY OBJECT IMAGE SUCH AS: - LOGOS/BRANDS - PEOPLE, ANIMALS, VEHICLES - FIRE, SMOKE - ETC COMPATIBLE WITH USB HDMI VIDEO CAPTURE DEVICES. TURNS ANY PC INTO A MULTI CHANNEL VIEW, MULTI CHANNEL RECORDING TELEVISION SET. FOR MORE INFORMATION CONTACT info@iziadvertising.com www.iziadvertising.com

IZI FINGERPRINT - Tutorial #7 - Creating Fingerprints From Audio Video

IZI FINGERPRINT - Tutorial #8 - Editing Fingerprints

IZI FINGERPRINT - Tutorial #9 - Generating Reports From Recordings CSV

Saturday, November 5, 2022

IZI FINGERPRINT - Tutorial #2 - Configuring Media Channels

IZI FINGERPRINT - Tutorial #5 - Testing Machine Learning Models

Wednesday, November 2, 2022

Introduction to Machine Learning with ML.NET - Global AI Developer Days 2022

Introduction to Machine Learning with ML.NET by Mr. David Patrick. He is also a Microsoft MVP with 30+years experiences and Also an MCT since 2001. ML.Net is another hot topic in .Net ecosystem. It gives capabilities to develop machine learning and AI models to .NET Applications. Come and get immersed into the world of machine learning with this introduction and demonstration of the ML.NET. We’ll show how to create an app that can predict the type of iris flower based on features such as petal length. We’ll show how to download and install ML.NET, create a data set, write the required c# code and run the finished app.

Tuesday, November 1, 2022

Is Stability turning into OpenAI?

#stablediffusion #aiart #openai Stability AI has stepped into some drama recently. They are accused of a hostile takeover of the community-led sub-reddits and Discord servers, of going after an alternative web UI, and of falsely dealing out IP takedown notices. OUTLINE: 0:00 - Intro 2:40 - Stability takes over community Discord & Reddit 14:50 - AUTOMATIC1111 web UI, stolen or not ? 24:50 - Stable Diffusion 1.5 takedown request 31:20 - Scary: Stability CIO statement on safety & openness References: https://ift.tt/tRsZGgz https://ift.tt/qt6OzP8 https://ift.tt/F9JWPsy https://ift.tt/rIs9xBv https://ift.tt/rIs9xBv https://ift.tt/nQkbJcy https://ift.tt/x3RkpTP https://ift.tt/NFkDW78 https://ift.tt/YhHl1qx https://ift.tt/9kZG8OQ https://ift.tt/QVirCY1 https://ift.tt/gK1YUWi https://ift.tt/QiC4agZ https://ift.tt/5Nws6Dv https://ift.tt/jVEmliO https://ift.tt/FtKEmrY https://ift.tt/QMZxjaW https://ift.tt/4S2FBqP https://ift.tt/SgJxsy5 https://ift.tt/Xxur5vW https://ift.tt/yuan3FP https://ift.tt/35bCATi https://ift.tt/6UAPfwB Links: Homepage: https://ykilcher.com Merch: https://ift.tt/S4Ahl90 YouTube: https://www.youtube.com/c/yannickilcher Twitter: https://twitter.com/ykilcher Discord: https://ift.tt/EUPon0r LinkedIn: https://ift.tt/Wc2LuXb 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/DkujEsv Patreon: https://ift.tt/PzNeLdI Bitcoin (BTC): bc1q49lsw3q325tr58ygf8sudx2dqfguclvngvy2cq Ethereum (ETH): 0x7ad3513E3B8f66799f507Aa7874b1B0eBC7F85e2 Litecoin (LTC): LQW2TRyKYetVC8WjFkhpPhtpbDM4Vw7r9m Monero (XMR): 4ACL8AGrEo5hAir8A9CeVrW8pEauWvnp1WnSDZxW7tziCDLhZAGsgzhRQABDnFy8yuM9fWJDviJPHKRjV4FWt19CJZN9D4n

Remote physiotherapy at scale with IncludeHealth - Made with TensorFlow.js

Meet Ryan Eder, Founder and CEO of IncludeHealth, who’s changing the medical industry by making it more accessible using Web ML and TensorFlow.js by delivering an AI-powered platform directly to patients for at-home physical therapy treatments using a regular webcam and browser. Ryan talks about IncludeHealth’s musculoskeletal operating system (MSK-OS), the inspiration behind starting the work, and the final solution. Learn for yourself how IncludeHealth helps to digitize physical therapy by partnering with health systems, PT networks, and orthopedic groups in a privacy preserving way that scales. Try it for yourself: Website: https://goo.gle/3fWbHZk Blog Post: https://goo.gle/3RQTv0j Want to be on the show? Use #MadeWithTFJS or #WebML to share your own creations on social media 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

Thursday, October 27, 2022

ML5G Challenge tutorial #3: Machine Learning model building and training | AI/ML IN 5G CHALLENGE

As part of the Machine Learning in 5G Challenge, this tutorial is open to participants or students who are new to machine learning and their application to communication networks. The tutorial will The session will cover the general introduction to Machine Learning Algorithms. Some concepts to be introduced includes: types of machine learning, model building, and model training, followed by a Jupiter notebook practice covering these topics, and a Q&A session at the end. 🎙 Speakers: Thomas Basikolo‬ Young Expert - AI/ML International Telecommunication Union (ITU) 🎙 Moderators: Miya Nishio Student University of Tokyo #ML5G #5GNetworks Join the Neural Network! 👉https://aiforgood.itu.int/neural-network/ The AI for Good networking community platform powered by AI. Designed to help users build connections with innovators and experts, link innovative ideas with social impact opportunities, and bring the community together to advance the SDGs using AI. 🔴 Watch the latest #AIforGood videos! https://www.youtube.com/c/AIforGood/videos Explore more #AIforGood content: 1️⃣ AI for Good Top Hits https://www.youtube.com/playlist?list=PLQqkkIwS_4kXXQWhP4vSr0Rtl13t2Ud2w 2️⃣ AI for Good Webinars https://www.youtube.com/playlist?list=PLQqkkIwS_4kUwDVioxixBf8OYlGAS_9_z 3️⃣ AI for Good Keynotes https://www.youtube.com/playlist?list=PLQqkkIwS_4kUmK6zjiuWWE4fImrbGBWRF 📩 Stay updated and join our weekly AI for Good newsletter: http://eepurl.com/gI2kJ5 📅 Discover what's next on our programme! https://aiforgood.itu.int/programme/ 🗞Check out the latest AI for Good news: https://aiforgood.itu.int/newsroom/ 📱Explore the AI for Good blog: https://aiforgood.itu.int/ai-for-good-blog/ 🌎 Connect on our social media: Website: https://aiforgood.itu.int/ Twitter: https://twitter.com/AIforGood LinkedIn Page: https://www.linkedin.com/company/26511907 LinkedIn Group: https://www.linkedin.com/groups/8567748 Instagram: https://www.instagram.com/aiforgood Facebook: https://www.facebook.com/AIforGood What is AI for Good? We have less than 10 years to solve the UN SDGs and AI holds great promise to advance many of the sustainable development goals and targets. More than a Summit, more than a movement, AI for Good is presented as a year round digital platform where AI innovators and problem owners learn, build and connect to help identify practical AI solutions to advance the United Nations Sustainable Development Goals. AI for Good is organized by ITU in partnership with 40 UN Sister Agencies and co-convened with Switzerland. Disclaimer: The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.

Wednesday, October 26, 2022

ML5G Challenge tutorial #3: Machine Learning model building and training | AI/ML IN 5G CHALLENGE

As part of the Machine Learning in 5G Challenge, this tutorial is open to participants or students who are new to machine learning and their application to communication networks. The tutorial will The session will cover the general introduction to Machine Learning Algorithms. Some concepts to be introduced includes: types of machine learning, model building, and model training, followed by a Jupiter notebook practice covering these topics, and a Q&A session at the end. 🎙 Speakers: Thomas Basikolo‬ Young Expert - AI/ML International Telecommunication Union (ITU) 🎙 Moderators: Miya Nishio Student University of Tokyo #ML5G #5GNetworks Join the Neural Network! 👉https://aiforgood.itu.int/neural-network/ The AI for Good networking community platform powered by AI. Designed to help users build connections with innovators and experts, link innovative ideas with social impact opportunities, and bring the community together to advance the SDGs using AI. 🔴 Watch the latest #AIforGood videos! https://www.youtube.com/c/AIforGood/videos Explore more #AIforGood content: 1️⃣ AI for Good Top Hits https://www.youtube.com/playlist?list=PLQqkkIwS_4kXXQWhP4vSr0Rtl13t2Ud2w 2️⃣ AI for Good Webinars https://www.youtube.com/playlist?list=PLQqkkIwS_4kUwDVioxixBf8OYlGAS_9_z 3️⃣ AI for Good Keynotes https://www.youtube.com/playlist?list=PLQqkkIwS_4kUmK6zjiuWWE4fImrbGBWRF 📩 Stay updated and join our weekly AI for Good newsletter: http://eepurl.com/gI2kJ5 📅 Discover what's next on our programme! https://aiforgood.itu.int/programme/ 🗞Check out the latest AI for Good news: https://aiforgood.itu.int/newsroom/ 📱Explore the AI for Good blog: https://aiforgood.itu.int/ai-for-good-blog/ 🌎 Connect on our social media: Website: https://aiforgood.itu.int/ Twitter: https://twitter.com/AIforGood LinkedIn Page: https://www.linkedin.com/company/26511907 LinkedIn Group: https://www.linkedin.com/groups/8567748 Instagram: https://www.instagram.com/aiforgood Facebook: https://www.facebook.com/AIforGood What is AI for Good? We have less than 10 years to solve the UN SDGs and AI holds great promise to advance many of the sustainable development goals and targets. More than a Summit, more than a movement, AI for Good is presented as a year round digital platform where AI innovators and problem owners learn, build and connect to help identify practical AI solutions to advance the United Nations Sustainable Development Goals. AI for Good is organized by ITU in partnership with 40 UN Sister Agencies and co-convened with Switzerland. Disclaimer: The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.

Monday, October 24, 2022

Machine Learning Tutorial for Beginners | Applied Machine Learning Foundations

Welcome to my Channel...! In this video we are going to see the basics of Applied Machine Learning . These are the fundamentals of Applied Machine Learning and essential trainings. we will see more and more in upcoming videos. For any queries drop a mail at contact.missgoo@gmail.com Share your thoughts about this video in the comment section and if you have any doubts post it in comment section. BluePrism Playlist:- https://youtube.com/playlist?list=PLWMB5IYAuU6fwXy7lFh627J9buCMnPgRU Thank You...! →→→→→Visit Our Channel For More Videos←←←←← 🏹LIKE 🏹SHARE 🏹SUBSCRIBE Where There is a Will There is a Way 💘 //Chapters and time splits 00:00:00-00:01:46 Leveraging machine learning 00:01:47-00:02:52 What you should know 00:02:53-00:03:36 What tools you need 00:03:37-00:07:37 What is machine learning? 00:07:38-00:12:39 What kind of problems can this help you solve? 00:12:40-00:18:28 Why Python? 00:18:29-00:22:17 Machine learning vs Deep learning vs Artificial intelligence 00:22:18-00:25:16 Demos of machine learning in real life 00:25:17-00:31:20 Common challenges 00:31:21-00:34:49 Why do we need to explore and clean our data? 00:34:50-00:43:35 Exploring continuous features 00:43:36-00:51:10 Plotting continuous features 00:51:11-00:56:54 Continuous data cleaning 00:56:55-01:02:58 Exploring categorical features 01:02:59-01:09:18 Plotting categorical features 01:09:19-01:13:51 Categorical data cleaning 01:13:52-01:19:45 Why do we split up our data? 01:19:46-01:24:52 Split data for train/validation/test set 01:24:53-01:30:55 What is cross-validation? 01:30:56-01:35:28 Establish an evaluation framework 01:35:29-01:40:28 Bias/Variance tradeoff 01:40:29-01:42:54 What is underfitting? 01:42:55-01:45:41 What is overfitting? 01:45:42-01:48:57 Finding the optimal tradeoff 01:48:58-01:55:19 Hyperparameter tuning 01:55:20-01:57:50 Regularization 01:57:51-01:59:38 Overview of the process 01:59:39-02:04:42 Clean continuous features 02:04:43-02:09:00 Clean categorical features 02:09:01-02:12:48 Split data into train/validation/test set 02:12:49-02:18:09 Fit a basic model using cross-validation 02:18:10-02:24:43 Tune hyperparameters 02:24:44-02:31:26 Evaluate results on validation set 02:31:27-02:35:56 Final model selection and evaluation on test set 02:35:57-02:37:23 Next steps

Sunday, October 23, 2022

Pixeltests Community session - Blockchain and AI

3 secrets to securing a high paying Blockchain and Artificial Intelligence job with resume mastery! Pixeltests is an Edtech aimed at upskilling professionals into Web 3.0, Blockchain, Artificial Intelligence, Machine Learning, etc. This is the first lecture for the paid community. We meet weekly live for Q&A, doubts! If you want to know more about the community, please join free live 2 hour webinar! Blockchain: https://bit.ly/bl_live4 Artificial Intelligence: https://bit.ly/ai_live3 pixeltests course,pixeltests students,pixeltests webinar,blockchain course,web 3.0 course review,machine learning course,machine learning course review,data science course,data science course review,data science placements,resume workshop,cv workshop,blockchain,curriculum vitae,cv kaise banaye,resume kaise banaye,resume format,resume writing,resume in ms word,resume for freshers,resume writing in english,machine learning cv,machine learning cv skills Facebook: https://www.facebook.com/fbpixeltests/ LinkedIn: https://www.linkedin.com/company/pixeltests/ Instagram: https://www.instagram.com/pixeltests1/ Twitter: https://twitter.com/thePixeltests

Machine Learning Tutorial for Beginners | Applied Machine Learning Foundations

Saturday, October 22, 2022

Intel’s New AI: Amazing Ray Tracing Results! ☀️

❤️ Check out Weights & Biases and say hi in their community forum here: https://ift.tt/Au4U0dI 📝 The paper "Temporally Stable Real-Time Joint Neural Denoising and Supersampling" is available here: https://ift.tt/avEpj8I 📝 Our earlier paper with the spheres scene that took 3 weeks: https://ift.tt/2XvahjU ❤️ Watch these videos in early access on our Patreon page or join us here on YouTube: - https://ift.tt/toZnF2g - 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 Balfanz, Alex Haro, Andrew Melnychuk, Benji Rabhan, Bryan Learn, B Shang, Christian Ahlin, Eric Martel, Geronimo Moralez, Gordon Child, Jace O'Brien, Jack Lukic, John Le, Jonas, Jonathan, Kenneth Davis, Klaus Busse, Kyle Davis, Lorin Atzberger, Lukas Biewald, Luke Dominique Warner, Matthew Allen Fisher, Matthew Valle, Michael Albrecht, Michael Tedder, Nevin Spoljaric, Nikhil Velpanur, Owen Campbell-Moore, Owen Skarpness, Rajarshi Nigam, Ramsey Elbasheer, Steef, Taras Bobrovytsky, Ted Johnson, Thomas Krcmar, Timothy Sum Hon Mun, Torsten Reil, Tybie Fitzhugh, Ueli Gallizzi. If you wish to appear here or pick up other perks, click here: https://ift.tt/toZnF2g Thumbnail background design: Felícia Zsolnai-Fehér - http://felicia.hu Károly Zsolnai-Fehér's links: Instagram: https://ift.tt/ES97V1U Twitter: https://twitter.com/twominutepapers Web: https://ift.tt/EbVsStf

ML5G Challenge tutorial #3: Machine Learning model building and training | AI/ML IN 5G CHALLENGE

As part of the Machine Learning in 5G Challenge, this tutorial is open to participants or students who are new to machine learning and their application to communication networks. The tutorial will The session will cover the general introduction to Machine Learning Algorithms. Some concepts to be introduced includes: types of machine learning, model building, and model training, followed by a Jupiter notebook practice covering these topics, and a Q&A session at the end. 🎙 Speakers: Thomas Basikolo‬ Young Expert - AI/ML International Telecommunication Union (ITU) 🎙 Moderators: Miya Nishio Student University of Tokyo #ML5G #5GNetworks Join the Neural Network! 👉https://aiforgood.itu.int/neural-network/ The AI for Good networking community platform powered by AI. Designed to help users build connections with innovators and experts, link innovative ideas with social impact opportunities, and bring the community together to advance the SDGs using AI. 🔴 Watch the latest #AIforGood videos! https://www.youtube.com/c/AIforGood/videos Explore more #AIforGood content: 1️⃣ AI for Good Top Hits https://www.youtube.com/playlist?list=PLQqkkIwS_4kXXQWhP4vSr0Rtl13t2Ud2w 2️⃣ AI for Good Webinars https://www.youtube.com/playlist?list=PLQqkkIwS_4kUwDVioxixBf8OYlGAS_9_z 3️⃣ AI for Good Keynotes https://www.youtube.com/playlist?list=PLQqkkIwS_4kUmK6zjiuWWE4fImrbGBWRF 📩 Stay updated and join our weekly AI for Good newsletter: http://eepurl.com/gI2kJ5 📅 Discover what's next on our programme! https://aiforgood.itu.int/programme/ 🗞Check out the latest AI for Good news: https://aiforgood.itu.int/newsroom/ 📱Explore the AI for Good blog: https://aiforgood.itu.int/ai-for-good-blog/ 🌎 Connect on our social media: Website: https://aiforgood.itu.int/ Twitter: https://twitter.com/AIforGood LinkedIn Page: https://www.linkedin.com/company/26511907 LinkedIn Group: https://www.linkedin.com/groups/8567748 Instagram: https://www.instagram.com/aiforgood Facebook: https://www.facebook.com/AIforGood What is AI for Good? We have less than 10 years to solve the UN SDGs and AI holds great promise to advance many of the sustainable development goals and targets. More than a Summit, more than a movement, AI for Good is presented as a year round digital platform where AI innovators and problem owners learn, build and connect to help identify practical AI solutions to advance the United Nations Sustainable Development Goals. AI for Good is organized by ITU in partnership with 40 UN Sister Agencies and co-convened with Switzerland. Disclaimer: The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.