NLP tutorial for beginners | Zero to Hero | Video 7 | Sentiment Analysis | TF-IDF Feature Extraction

In this video, you are going to learn how to perform sentiment analysis task using TF-IDF technique Feature Extraction - TF-IDF https://www.youtube.com/watch?v=9mlj2CJxSzc Feature Extraction - Bag of Words https://www.youtube.com/watch?v=CaLUZlpf-_E Around 40 to 50 various Text Preprocessing techniques link: Part 1: https://www.youtube.com/watch?v=SNx2j1ynG4Y&t=148s Part 2: https://www.youtube.com/watch?v=gXBWweVBQyg NLP Playlist: https://www.youtube.com/watch?v=5fOJM87ab2o&list=PLfbcENSiXCq4G7EQFDFtD70bi4kkZicSn #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/

Linear Algebra Series | Lesson 5 | Machine Learning | AI | Tutorials

Linear Algebra Series | Lesson 5 | Machine Learning | AI | Tutorials This series of lessons we are going to cover Machine Learning, AI, Deep Learning topics, Python, R Programming, basic concepts like Linear algebra, Statistics, Probability,calculus Video highlights Introduction to Linear Algebra Algebraic Expressions #machinelearning #ml #ai #artificialintelligence #datascience #datascientist #python #pythonprogramming #rprogrammingforbeginners #rprogramming #linearalgebra #algebra #probability #statistics #calculus #algebricexpression #algebricequations

Day 5/30 Machine Learning Master Class - Sanjay - Pantech.ai | Pantech Solutions | Warriorsway

If You Haven't Register still, Register Now: https://docs.google.com/forms/d/e/1FAIpQLSfMiy0VGvewwUBaNmsYN_8UUSNhpwtbeNZM1268QY3WzA8DIA/viewform?usp=sf_link 5 in 1 Internship : https://rzp.io/l/mlv55internship 5 in 1 For International payment :https://buy.stripe.com/fZecP60QJ2qcb7y8xq Black friday Gold Membership Offer : https://rzp.io/l/blackfriday22goldmembership Black friday Gold Membership Offer For International payment :https://buy.stripe.com/bIY2as56Z7Kw6Ri14X ----------------------------------------------------------------------------------------------------------------------------------------- 📅21st Nov - 24 th Dec (30 Days FREE) ⏰7.00 P.M - 8.00 P.M IST 👨‍🏫Connect with Course Instructor : A P Sanjay Kumar - https://www.linkedin.com/in/sanjaykumar-ap 👨‍🏫Connect with Director :M K JEEVARAJAN - https://www.linkedin.com/in/jeevarajan/ Join Telegram group : https://telegram.me/+7L9crpL6YfU3ZDI1 ❓Are You a Student, Wants to Build Your Profile filled with A.I Projects before completing your studies ❓Are You a Professor/Working Professional, who wants to switch Your High Paying Job ❓Are You a Person who doesn't know anything about A.I, who wants to learn A.I from Zero to Hero Level We are offering You a 30 Days FREE Machine Learning Master Class with FREE E-Certificate What I Will Learn? ✅Day-1: Overview A.I | Machine Learning ✅Day-2: Introduction to Python | How to write code in Google Colab, Jupyter Notebook, Pycharm & IDLE ✅Day-3: Advertisement Sale prediction from an existing customer using LOGISTIC REGRESSION ✅Day-4: Salary Estimation using K-NEAREST NEIGHBOR ✅Day-5: Character Recognition using SUPPORT VECTOR MACHINE ✅Day-6: Titanic Survival Prediction using NAIVE BAYES ✅Day-7: Leaf Detection using DECISION TREE ✅Day-8: Handwritten digit recognition using RANDOM FOREST ✅Day-9: Evaluating Classification model Performance using CONFUSIONMATRIX, CAP CURVE ANALYSIS & ACCURACY PARADOX ✅Day-10: Classification Model Selection for Breast Cancer classification ✅Day-11: House Price Prediction using LINEAR REGRESSION Single Variable ✅Day-12: Exam Mark Prediction using LINEAR REGRESSION Multiple Variable ✅Day-13: Predicting the Previous salary of the New Employee using POLYNOMIAL REGRESSION ✅Day-14: Stock price prediction using SUPPORT VECTOR REGRESSION ✅Day-15: Height Prediction from the Age using DECISION TREE REGRESSION ✅Day-16: Car price prediction using RANDOM FOREST ✅Day-17: Evaluating Regression model performance using R-SQUARED INTUITION & ADJUSTED R-SQUARED INTUITION ✅Day-18: Regression Model Selection for Engine Energy prediction. ✅Day-19: Identifying the Pattern of the Customer spent using K-MEANS CLUSTERING ✅Day-20: Customer Spending analysis using HIERARCHICAL CLUSTERING ✅Day-21: Leaf types data visualization using PRINCIPLE COMPONENT ANALYSIS ✅Day-22: Finding Similar Movie based on ranking using SINGULAR VALUE DECOMPOSITION ✅Day-23: Market Basket Analysis using APIRIORI ✅Day-24: Market Basket Optimization/Analysis using ECLAT ✅Day-25: Web Ads. Click through Rate optimization using UPPER BOUND CONFIDENCE ✅Day-26: Sentimental Analysis using Natural Language Processing ✅Day-27: Breast cancer Tumor prediction using XGBOOST ✅Day-28: Bank Customer classification using ANN ✅Day-29: Pima-Indians Diabetes Classification using CONVOLUTIONAL NEURAL NETWORK ✅Day-30: A.I Snake Game using REINFORCEMENT LEARNING #artificialintelligence #machinelearning #deeplearning #ai #free

NLP tutorial for beginners | Zero to Hero | Video 5 | Feature Extraction Technique - Bag of Words

In this video, I'm going to explain about Feature Extraction technique - Bag of Words with practical implementation in Toxic comments classification. Around 40 to 50 various Text Preprocessing techniques link: Part 1: https://www.youtube.com/watch?v=SNx2j1ynG4Y&t=148s Part 2: https://www.youtube.com/watch?v=gXBWweVBQyg NLP Playlist: https://www.youtube.com/watch?v=5fOJM87ab2o&list=PLfbcENSiXCq4G7EQFDFtD70bi4kkZicSn #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/

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

AI Master Class - Day 19/30 - Sanjay Kumar | A.I + M.L + D.L + CV + NLP+ Chatbot + Cloud + Hardware

If You Haven't Register for this A.I Event till now, Register Now: https://docs.google.com/forms/d/e/1FAIpQLSd2STps8--x3cGDsFdWV8r3YXql6ffMZq48vouLoCKO46cDng/viewform?usp=sf_link Gold Membership : https://www.pantechsolutions.net/embedded-system-design-artificial-intelligence-courses 3 in 1 Ai Combo :https://rzp.io/l/3in1aiv5combooffer Internship on A.I : https://rzp.io/l/KDSwypRE ------------------------------------------------------------------------- Connect with Your Speaker: https://www.linkedin.com/in/sanjay-kumar-a-p-4447801a5/ -------------------------------------------------------------------------- 🎥Event Venue: Youtube 📅Event Date : 31st October to 29th November ⏰Event Timing : 5.30 P.M - 6.30 P.M What you will Learn on This 30 Days Master Class Series: ✅DAY – 1 Overview of this course | Introduction to AI | How to create basic AI application (Chat bot using DialogFlow) ✅DAY – 2 How to install Python & Libraries | Basics of python Programming for AI. ✅DAY – 3 Introduction to Computer Vision| How to install computer vision libraries ✅DAY – 4 Moving Object Detection and tracking using OpenCV ✅DAY – 5 Face Detection and Tracking using OpenCV ✅DAY – 6 Object Tracking based on color using OpenCV ✅DAY – 7 Face Recognition using OpenCV ✅DAY – 8 Face Emotion recognition using 68-Landmark Predictor OpenCV ✅DAY – 9 Introduction to Deep learning | How to install DL libraries ✅DAY – 10 Designing your First Neural Network ✅DAY – 11 Object recognition from Pre-trained model ✅DAY – 12 Image classification using Convolutional Neural Network ✅DAY – 13 Hand gesture recognition using Deep Learning ✅DAY – 14 Leaf disease detection using Deep Learning ✅DAY – 15 Character recognition using Convolutional Neural Network ✅DAY – 16 Label reading using Optical Character recognition ✅DAY – 17 Smart Attendance system using Deep Learning ✅DAY – 18 Vehicle detection using Deep Learning ✅DAY – 19 License plate recognition using Deep Learning ✅DAY – 20 Drowsiness detection using Deep Learning ✅DAY – 21 Road sign recognition using Deep Learning ✅DAY – 22 Introduction to Machine learning| How to install ML libraries ✅DAY – 23 Evaluating and Deploying the various ML model ✅DAY – 24 Fake news detection using ML ✅DAY – 25 AI snake game design using ML ✅DAY – 26 Introduction to NLP & it’s Terminology | How to install NLP Libraries NLTK ✅DAY – 27 Title Formation from the paragraph design using NLP ✅DAY – 28 Speech emotion analysis using NLP ✅DAY – 29 Cloud-based AI, Object recognition using Amazon Web Service (AWS) & Imagga ✅DAY – 30 Deploying AI application in Raspberry Pi with Neural Compute stick & Nvidia Jetson Nano -------------------------------------------------------------------------- 👨‍👩‍👦‍👦Community: 📭Join in Telegram: https://telegram.me/+rVQjE02xUPthMjU1 📟Pantech Solutions Youtube Channel: https://www.youtube.com/user/pantechsolutions -------------------------------------------------------------------------- Happy Learning M.K Jeevarajan DIRECTOR PANTECH PROLABS INDIA #Artificialintelligence #Machinelearning #Deeplearning #computervision #NLP #Chatbot #Cloud #Hardware

#3 Machine Learning Environment setup | Machine Learning Bangla | Artificial Intelligence tutorial

Machine Learning Environment setup | Machine Learning Bangla | Artificial Intelligence tutorial

Deep Learning and Artificial Intelligence Primer

Machine Learning | AI | Tutorials | Linear Algebra Series | Lesson 8

Machine Learning | AI | Tutorials | Linear Algebra Series | Lesson 8 This series of lessons we are going to cover Machine Learning, AI, Deep Learning topics, Python, R Programming, basic concepts like Linear algebra, Statistics, Probability,calculus Video highlights Introduction to Linear Algebra Solving Linear Equations #machinelearning #ml #ai #artificialintelligence #datascience #datascientist #python #pythonprogramming #rprogrammingforbeginners #rprogramming #linearalgebra #algebra #probability #statistics #calculus #algebricexpression #algebricequations #graph

Machine Learning | AI | Tutorials | Linear Algebra Series | Lesson 3

Machine Learning | AI | Tutorials | Linear Algebra Series | Lesson 3 This series of lessons we are going to cover Machine Learning, AI, Deep Learning topics, Python, R Programming, basic concepts like Linear algebra, Statistics, Probability, calculus Video highlights Introduction to Linear Algebra Number Line Absolute Value #machinelearning #ml #ai #artificialintelligence #datascience #datascientist #python #pythonprogramming #rprogrammingforbeginners #rprogramming #linearalgebra #algebra #probability #statistics #calculus

AI Tutorial: Machine Learning | GURUTECH Global

#gurutech #guru #gurusaroeun #tech #gurutechi #slekret #programing #csharp #cprogram #visualbasic | Gurutech Global Following Us: =========== Instagram: t.me/gurutechi Telegram: t.me/gurutechi Twitter: https://twitter.com/gurutechi Tiktok: https://www.tiktok.com/@gurutechkh Tumblr: https://www.tumblr.com/blog/view/gurutech Whatapp: https://wa.me/message/OU3I5RTNVOQFN1 Facebook Page: https://web.facebook.com/gurutechglobal Donate: ====== ABA: 000232678 Bakong: 0966224565 TeanChet: 0966224565 Bitcoin: bc1qw5y9guuc08t0ghdk82nwqk6va8mq39667cgz99 Ether: 0xcC4Fc6A3E263f5d17a4ed78C4C63a3b99F1108c6 Stellar: GD2VQWZ3V5BP44K75UFY5KO4H

AI Tutorial: Machine Learning | GURUTECH Global

#gurutech #guru #gurusaroeun #tech #gurutechi #slekret #programing #csharp #cprogram #visualbasic | Gurutech Global Following Us: =========== Instagram: t.me/gurutechi Telegram: t.me/gurutechi Twitter: https://twitter.com/gurutechi Tiktok: https://www.tiktok.com/@gurutechkh Tumblr: https://www.tumblr.com/blog/view/gurutech Whatapp: https://wa.me/message/OU3I5RTNVOQFN1 Facebook Page: https://web.facebook.com/gurutechglobal Donate: ====== ABA: 000232678 Bakong: 0966224565 TeanChet: 0966224565 Bitcoin: bc1qw5y9guuc08t0ghdk82nwqk6va8mq39667cgz99 Ether: 0xcC4Fc6A3E263f5d17a4ed78C4C63a3b99F1108c6 Stellar: GD2VQWZ3V5BP44K75UFY5KO4H

AI Tutorial: Machine Learning | GURUTECH Global

#gurutech #guru #gurusaroeun #tech #gurutechi #slekret #programing #csharp #cprogram #visualbasic | Gurutech Global Following Us: =========== Instagram: t.me/gurutechi Telegram: t.me/gurutechi Twitter: https://twitter.com/gurutechi Tiktok: https://www.tiktok.com/@gurutechkh Tumblr: https://www.tumblr.com/blog/view/gurutech Whatapp: https://wa.me/message/OU3I5RTNVOQFN1 Facebook Page: https://web.facebook.com/gurutechglobal Donate: ====== ABA: 000232678 Bakong: 0966224565 TeanChet: 0966224565 Bitcoin: bc1qw5y9guuc08t0ghdk82nwqk6va8mq39667cgz99 Ether: 0xcC4Fc6A3E263f5d17a4ed78C4C63a3b99F1108c6 Stellar: GD2VQWZ3V5BP44K75UFY5KO4H

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

Machine Learning | AI | Tutorials | Lesson 12 | Linear Algebra Series

Machine Learning | AI | Tutorials | Lesson 12 | Linear Algebra Series This series of lessons we are going to cover Machine Learning, AI, Deep Learning topics, Python, R Programming, basic concepts like Linear algebra, Statistics, Probability,calculus Video highlights Introduction to Linear Algebra Solving Linear Equations Slope of a line #machinelearning #ml #ai #artificialintelligence #datascience #datascientist #python #pythonprogramming #rprogrammingforbeginners #rprogramming #linearalgebra #algebra #probability #statistics #calculus #algebricexpression #algebricequations #graph #slopeofaline

Machine Learning | AI | Tutorials | Lesson 11 | Linear Algebra Series

Machine Learning | AI | Tutorials | Lesson 11 | Linear Algebra Series This series of lessons we are going to cover Machine Learning, AI, Deep Learning topics, Python, R Programming, basic concepts like Linear algebra, Statistics, Probability,calculus Video highlights Introduction to Linear Algebra Solving Linear Equations Slope intercept form #machinelearning #ml #ai #artificialintelligence #datascience #datascientist #python #pythonprogramming #rprogrammingforbeginners #rprogramming #linearalgebra #algebra #probability #statistics #calculus #algebricexpression #algebricequations #graph #slopeofaline #slopeinterceptform

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

Machine learning tutorial in tamil | Heart disease prediction | தமிழ் | Classification | ML Series-2

This is machine learning series video - 2. In this I've taught classification in depth. Classification comes under supervised learning. I've explained logistic regression which is predominantly used by medical researchers to classify diseases. In this lecture you'll learn how a classifier is built. machine learning | machine learning tutorial | machine learning in tamil |machine learning full course | machine learning course | machine learning playlist | machine learning project | machine learning in தமிழ் #machinelearning #machinelearningbasics #machinelearningfullcourse #deeplearning #tamil #ml #mlops #artificialintelligence #ai #tutorial #tamiltutorial #logisticregression #statistics #maths #code #projects

AI experiemnt Quick Draw Doodling | AI doodle draw | Machine Learning | Data Magic

Hello Friends, Can a neural network learn to recognize doodling? Help teach it by adding your drawings to the world’s largest doodling data set, shared publicly to help with machine learning research. Try here: https://quickdraw.withgoogle.com/ Stay tuned and enjoy Machine Learning !!! Cheers !!! Read FREE ebook on Amazon Kindle unlimited- Machine Learning-Quick & Easy guide for every beginner -https://www.amazon.in/dp/B0B5VT9PDZ/ref=cm_sw_r_cp_apan_E29SA2TXHYSYY2P08EBF #doodledraw #AIexperience #machinelearning #AI #ML #datamagic #DataMagicAI #sunnykusawa #datascience @DataMagicAI Connect with me, ☑️ YouTube : https://www.youtube.com/@DataMagicAI ☑️ Facebook Page : https://www.facebook.com/datamagic2020 ☑️ Facebook Group: https://www.facebook.com/groups/datamagic2020 ☑️ Instagram : http://instagram.com/datamagic2020 ☑️ Telegram: https://t.me/datamagic2020 ☑️ Twitter : http://www.twitter.com/datamagic5 For Business Inquiries : datamagic2020@gmail.com Best book for Machine Learning : https://amzn.to/3qCe0Rf Machine Learning for Absolute Beginners: https://amzn.to/3mMSRUO Machine Learning For Dummies: https://amzn.to/32K7Ms6 Hands–On Machine Learning with Scikit–Learn and TensorFlow: https://amzn.to/3mOf0SL The Elements of Statistical Learning: https://amzn.to/3Jysegf Machine Learning in Action: https://amzn.to/3mNE7Ff 🎥 Playlists : ☑️Machine Learning Basics https://www.youtube.com/playlist?list=PLTmQbi1PYZ_E1iTkBrZWK_htO0hY4vcGK ☑️Feature Engineering/ Data Preprocessing https://www.youtube.com/playlist?list=PLTmQbi1PYZ_EnBmO1-E0Z81ArnE-zSR1a ☑️OpenCV Tutorial [Computer Vision] https://www.youtube.com/playlist?list=PLTmQbi1PYZ_GrjMHiGCYa0WyDZfxu-yTz ☑️Machine Learning Algorithms https://www.youtube.com/playlist?list=PLTmQbi1PYZ_EMlRyZDMlza6BkDO_fHlBG ☑️Machine Learning Environment Setup https://www.youtube.com/playlist?list=PLTmQbi1PYZ_FcSnxMLrlRaPaNy0b5gwId ☑️Machine Learning Model Deployment https://www.youtube.com/playlist?list=PLTmQbi1PYZ_FTveld2Whf1c5RfBMpxE38 ☑️Machine Learning Projects https://www.youtube.com/playlist?list=PLTmQbi1PYZ_HpgksoXsjnO4cwVixa08df ☑️Kaggle Tutorial https://www.youtube.com/playlist?list=PLTmQbi1PYZ_Hy697WY2mNKl6LFezwbz8y ☑️Microsoft Lobe Tutorial https://www.youtube.com/playlist?list=PLTmQbi1PYZ_GqPm9fAQyJaJwBhLVQx8rX Thank you for watching !! Please Like, Comment, Share and Subscribe!!!

AI Master Class - Day 14/30 - Sanjay Kumar | A.I + M.L + D.L + CV + NLP+ Chatbot + Cloud + Hardware

If You Haven't Register for this A.I Event till now, Register Now: https://docs.google.com/forms/d/e/1FAIpQLSd2STps8--x3cGDsFdWV8r3YXql6ffMZq48vouLoCKO46cDng/viewform?usp=sf_link Gold Membership : https://www.pantechsolutions.net/embedded-system-design-artificial-intelligence-courses 3 in 1 Ai Combo :https://rzp.io/l/3in1aiv5combooffer Internship on A.I : https://rzp.io/l/KDSwypRE ------------------------------------------------------------------------- Connect with Your Speaker: https://www.linkedin.com/in/sanjay-kumar-a-p-4447801a5/ -------------------------------------------------------------------------- 🎥Event Venue: Youtube 📅Event Date : 31st October to 29th November ⏰Event Timing : 5.30 P.M - 6.30 P.M What you will Learn on This 30 Days Master Class Series: ✅DAY – 1 Overview of this course | Introduction to AI | How to create basic AI application (Chat bot using DialogFlow) ✅DAY – 2 How to install Python & Libraries | Basics of python Programming for AI. ✅DAY – 3 Introduction to Computer Vision| How to install computer vision libraries ✅DAY – 4 Moving Object Detection and tracking using OpenCV ✅DAY – 5 Face Detection and Tracking using OpenCV ✅DAY – 6 Object Tracking based on color using OpenCV ✅DAY – 7 Face Recognition using OpenCV ✅DAY – 8 Face Emotion recognition using 68-Landmark Predictor OpenCV ✅DAY – 9 Introduction to Deep learning | How to install DL libraries ✅DAY – 10 Designing your First Neural Network ✅DAY – 11 Object recognition from Pre-trained model ✅DAY – 12 Image classification using Convolutional Neural Network ✅DAY – 13 Hand gesture recognition using Deep Learning ✅DAY – 14 Leaf disease detection using Deep Learning ✅DAY – 15 Character recognition using Convolutional Neural Network ✅DAY – 16 Label reading using Optical Character recognition ✅DAY – 17 Smart Attendance system using Deep Learning ✅DAY – 18 Vehicle detection using Deep Learning ✅DAY – 19 License plate recognition using Deep Learning ✅DAY – 20 Drowsiness detection using Deep Learning ✅DAY – 21 Road sign recognition using Deep Learning ✅DAY – 22 Introduction to Machine learning| How to install ML libraries ✅DAY – 23 Evaluating and Deploying the various ML model ✅DAY – 24 Fake news detection using ML ✅DAY – 25 AI snake game design using ML ✅DAY – 26 Introduction to NLP & it’s Terminology | How to install NLP Libraries NLTK ✅DAY – 27 Title Formation from the paragraph design using NLP ✅DAY – 28 Speech emotion analysis using NLP ✅DAY – 29 Cloud-based AI, Object recognition using Amazon Web Service (AWS) & Imagga ✅DAY – 30 Deploying AI application in Raspberry Pi with Neural Compute stick & Nvidia Jetson Nano -------------------------------------------------------------------------- 👨‍👩‍👦‍👦Community: 📭Join in Telegram: https://telegram.me/+rVQjE02xUPthMjU1 📟Pantech Solutions Youtube Channel: https://www.youtube.com/user/pantechsolutions -------------------------------------------------------------------------- Happy Learning M.K Jeevarajan DIRECTOR PANTECH PROLABS INDIA #Artificialintelligence #Machinelearning #Deeplearning #computervision #NLP #Chatbot #Cloud #Hardware

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

Machine Learning | AI | Tutorials | Lesson 10 | Linear Algebra Series

Machine Learning | AI | Tutorials | Lesson 10 | Linear Algebra Series This series of lessons we are going to cover Machine Learning, AI, Deep Learning topics, Python, R Programming, basic concepts like Linear algebra, Statistics, Probability,calculus Video highlights Introduction to Linear Algebra Solving Linear Equations Slope of a line #machinelearning #ml #ai #artificialintelligence #datascience #datascientist #python #pythonprogramming #rprogrammingforbeginners #rprogramming #linearalgebra #algebra #probability #statistics #calculus #algebricexpression #algebricequations #graph #slopeofaline

AI experiemnt Quick Draw Doodling | AI doodle draw | Machine Learning | Data Magic

Hello Friends, Can a neural network learn to recognize doodling? Help teach it by adding your drawings to the world’s largest doodling data set, shared publicly to help with machine learning research. Try here: https://quickdraw.withgoogle.com/ Stay tuned and enjoy Machine Learning !!! Cheers !!! Read FREE ebook on Amazon Kindle unlimited- Machine Learning-Quick & Easy guide for every beginner -https://www.amazon.in/dp/B0B5VT9PDZ/ref=cm_sw_r_cp_apan_E29SA2TXHYSYY2P08EBF #doodledraw #AIexperience #machinelearning #AI #ML #datamagic #DataMagicAI #sunnykusawa #datascience @DataMagicAI Connect with me, ☑️ YouTube : https://www.youtube.com/@DataMagicAI ☑️ Facebook Page : https://www.facebook.com/datamagic2020 ☑️ Facebook Group: https://www.facebook.com/groups/datamagic2020 ☑️ Instagram : http://instagram.com/datamagic2020 ☑️ Telegram: https://t.me/datamagic2020 ☑️ Twitter : http://www.twitter.com/datamagic5 For Business Inquiries : datamagic2020@gmail.com Best book for Machine Learning : https://amzn.to/3qCe0Rf Machine Learning for Absolute Beginners: https://amzn.to/3mMSRUO Machine Learning For Dummies: https://amzn.to/32K7Ms6 Hands–On Machine Learning with Scikit–Learn and TensorFlow: https://amzn.to/3mOf0SL The Elements of Statistical Learning: https://amzn.to/3Jysegf Machine Learning in Action: https://amzn.to/3mNE7Ff 🎥 Playlists : ☑️Machine Learning Basics https://www.youtube.com/playlist?list=PLTmQbi1PYZ_E1iTkBrZWK_htO0hY4vcGK ☑️Feature Engineering/ Data Preprocessing https://www.youtube.com/playlist?list=PLTmQbi1PYZ_EnBmO1-E0Z81ArnE-zSR1a ☑️OpenCV Tutorial [Computer Vision] https://www.youtube.com/playlist?list=PLTmQbi1PYZ_GrjMHiGCYa0WyDZfxu-yTz ☑️Machine Learning Algorithms https://www.youtube.com/playlist?list=PLTmQbi1PYZ_EMlRyZDMlza6BkDO_fHlBG ☑️Machine Learning Environment Setup https://www.youtube.com/playlist?list=PLTmQbi1PYZ_FcSnxMLrlRaPaNy0b5gwId ☑️Machine Learning Model Deployment https://www.youtube.com/playlist?list=PLTmQbi1PYZ_FTveld2Whf1c5RfBMpxE38 ☑️Machine Learning Projects https://www.youtube.com/playlist?list=PLTmQbi1PYZ_HpgksoXsjnO4cwVixa08df ☑️Kaggle Tutorial https://www.youtube.com/playlist?list=PLTmQbi1PYZ_Hy697WY2mNKl6LFezwbz8y ☑️Microsoft Lobe Tutorial https://www.youtube.com/playlist?list=PLTmQbi1PYZ_GqPm9fAQyJaJwBhLVQx8rX Thank you for watching !! Please Like, Comment, Share and Subscribe!!!

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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

Machine Learning | AI | Tutorials | Linear Algebra Series

Machine Learning | AI | Tutorials | Lesson 8 | Linear Algebra Series This series of lessons we are going to cover Machine Learning, AI, Deep Learning topics, Python, R Programming, basic concepts like Linear algebra, Statistics, Probability,calculus Video highlights Introduction to Linear Algebra Solving Linear Equations #machinelearning #ml #ai #artificialintelligence #datascience #datascientist #python #pythonprogramming #rprogrammingforbeginners #rprogramming #linearalgebra #tutorials #tutorial #lesson #algebra #probability #statistics #calculus #algebricexpression #algebricequations #graph Machine Learning | AI | Tutorials | Lesson 8 | Linear Algebra Series https://youtu.be/0U-bnym78hw Machine Learning | AI | Tutorials | Lesson 7 | Linear Algebra Series https://youtu.be/a_9f0a3TQLU Machine Learning | AI | Tutorials | Lesson 6 | Linear Algebra Series https://youtu.be/cNRKu1qWJx0

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

Machine Learning | AI | Tutorials | Linear Algebra Series

Machine Learning | AI | Tutorials | Lesson 8 | Linear Algebra Series This series of lessons we are going to cover Machine Learning, AI, Deep Learning topics, Python, R Programming, basic concepts like Linear algebra, Statistics, Probability,calculus Video highlights Introduction to Linear Algebra Solving Linear Equations #machinelearning #ml #ai #artificialintelligence #datascience #datascientist #python #pythonprogramming #rprogrammingforbeginners #rprogramming #linearalgebra #tutorials #tutorial #lesson #algebra #probability #statistics #calculus #algebricexpression #algebricequations #graph Machine Learning | AI | Tutorials | Lesson 8 | Linear Algebra Series https://youtu.be/0U-bnym78hw Machine Learning | AI | Tutorials | Lesson 7 | Linear Algebra Series https://youtu.be/a_9f0a3TQLU Machine Learning | AI | Tutorials | Lesson 6 | Linear Algebra Series https://youtu.be/cNRKu1qWJx0

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.

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.

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.

How to learn data science and machine learning for FREE #ai #ml #datascience #learning

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 - 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 #8 - Editing Fingerprints

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 #9 - Generating Reports From Recordings CSV

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

How to learn data science and machine learning for FREE #ai #ml #datascience #learning

IZI FINGERPRINT - Tutorial #2 - Configuring Media Channels

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 #5 - Testing Machine Learning Models

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Artificial Intelligence Tutorial Artificial Intelligence Course Intellipaat

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Object detection using YOLOV5 deep learning #ComputerVision #texas #AI #ml #dallas #objectdetection #machinelearning #artificialintelligence #deeplearning #usa #imageprocessing

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Machine Learning | AI | Tutorials | Lesson 3 | Linear Algebra Series This series of lessons we are going to cover Machine Learning, AI, Deep Learning topics, Python, R Programming, basic concepts like Linear algebra, Statistics, Probability, Video highlights Which tutorial is best for machine learning? What are the 7 steps of machine learning? Can a beginner learn machine learning? How can I learn machine learning? How do I start making machine learning? How fast can I learn machine learning? Can I teach myself artificial intelligence? Is artificial intelligence is easy to learn? What are the 4 types of AI? What is the basics of AI? What are the 3 types of AI? What are examples of AI?

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.

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#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

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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