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ML 2 AI
Индия
Добавлен 14 янв 2024
The Normal Equation | 03 | Training Models | Hands-On Machine Learning
Google Colab Notebook : colab.research.google.com/drive/1ghfpnccJKcgYLp12b7qrBUydXJ0ZbwXl?usp=sharing
Playlist of Hands-On Machine Learning : ruclips.net/p/PL5PI6wUbUq21AWSdaSR2FWBggY0sbfL67&si=JHaByZZNiXtc9m8t
GitHub : github.com/rajsecrets
Instagram : rajsecrets
LinkedIn : www.linkedin.com/in/rajsecrets/
Chapters :
00:00 Intro
#ml2ai #ai #artificialintelligence #machinelearning #chatgpt #chatgpt4 #LLM #Largelanguagemodel
#DeepLearning
#NeuralNetworks
#DataScience
Playlist of Hands-On Machine Learning : ruclips.net/p/PL5PI6wUbUq21AWSdaSR2FWBggY0sbfL67&si=JHaByZZNiXtc9m8t
GitHub : github.com/rajsecrets
Instagram : rajsecrets
LinkedIn : www.linkedin.com/in/rajsecrets/
Chapters :
00:00 Intro
#ml2ai #ai #artificialintelligence #machinelearning #chatgpt #chatgpt4 #LLM #Largelanguagemodel
#DeepLearning
#NeuralNetworks
#DataScience
Просмотров: 21
Видео
Linear Regression | 02 | Training Models | Hands-On Machine Learning
Просмотров 3314 дней назад
Notes : drive.google.com/file/d/12yck1g7zrmw3r4wn6Lv7ZyIu31KBFV7y/view?usp=sharing Playlist of Hands-On Machine Learning : ruclips.net/p/PL5PI6wUbUq21AWSdaSR2FWBggY0sbfL67&si=JHaByZZNiXtc9m8t GitHub : github.com/rajsecrets Instagram : rajsecrets LinkedIn : www.linkedin.com/in/rajsecrets/ Chapters : 00:00 Intro #ml2ai #ai #artificialintelligence #machinelearning #chatgpt #chatgpt4...
Introduction | 01 | Training Models | Hands-On Machine Learning
Просмотров 43Месяц назад
Notes : drive.google.com/file/d/12yck1g7zrmw3r4wn6Lv7ZyIu31KBFV7y/view?usp=sharing Playlist of Hands-On Machine Learning : ruclips.net/p/PL5PI6wUbUq21AWSdaSR2FWBggY0sbfL67&si=JHaByZZNiXtc9m8t GitHub : github.com/rajsecrets Instagram : rajsecrets LinkedIn : www.linkedin.com/in/rajsecrets/ Chapters : 00:00 Intro #ml2ai #ai #artificialintelligence #machinelearning #chatgpt #chatgpt4...
Multi-Output Classification | 09 | Classification | Hands-On Machine Learning
Просмотров 165Месяц назад
Open Google Colab : colab.research.google.com/drive/1Yp-bUw3R6PtHhtOoA_a5yFtD0imedmIZ?usp=sharing Notes : drive.google.com/file/d/12yck1g7zrmw3r4wn6Lv7ZyIu31KBFV7y/view?usp=sharing Playlist of Hands-On Machine Learning : ruclips.net/p/PL5PI6wUbUq21AWSdaSR2FWBggY0sbfL67&si=JHaByZZNiXtc9m8t GitHub : github.com/rajsecrets Instagram : rajsecrets LinkedIn : www.linkedin.com/in/rajsecr...
Weekly AI News || OpenAI | Geoffrey Hinton | Ilya Sutskever | Mira Murati
Просмотров 190Месяц назад
AI News of the Week GitHub : github.com/rajsecrets Instagram : rajsecrets LinkedIn : www.linkedin.com/in/rajsecrets/ Chapters : #news #ainews #generativeai #generativeadversarialnetworks #ml2ai #ai #artificialintelligence #machinelearning #chatgpt #chatgpt4 #LLM #Largelanguagemodel #DeepLearning #NeuralNetworks #Robotics #DataScience
Multilabel classification | 08 | Classification | Hands-On Machine Learning
Просмотров 161Месяц назад
Open Google Colab : colab.research.google.com/drive/1Yp-bUw3R6PtHhtOoA_a5yFtD0imedmIZ?usp=sharing Notes : drive.google.com/drive/folders/1TCy3RW61RpH9jeDZ1kmswSoiRENFWBbb?usp=sharing Playlist of Hands-On Machine Learning : ruclips.net/p/PL5PI6wUbUq21AWSdaSR2FWBggY0sbfL67&si=JHaByZZNiXtc9m8t GitHub : github.com/rajsecrets Instagram : rajsecrets LinkedIn : www.linkedin.com/in/rajse...
This is Magical 🪄 | Adobe Firefly | Honest Review
Просмотров 71Месяц назад
Website : firefly.adobe.com/inspire/images?ff_channel=adobe_com&ff_campaign=ffly_homepage&ff_source=firefly_seo GitHub : github.com/rajsecrets Instagram : rajsecrets LinkedIn : www.linkedin.com/in/rajsecrets/ Chapters : #aiart #aivideogeneratorfree #generativeai #generativeadversarialnetworks #ml2ai #ai #artificialintelligence #machinelearning #chatgpt #chatgpt4 #LLM #Largelangua...
Error Analysis in Classification | 07 | Classification | Hands-On Machine Learning
Просмотров 183Месяц назад
Open Google Colab : colab.research.google.com/drive/1Yp-bUw3R6PtHhtOoA_a5yFtD0imedmIZ?usp=sharing Notes : drive.google.com/drive/folders/1TCy3RW61RpH9jeDZ1kmswSoiRENFWBbb?usp=sharing Playlist of Hands-On Machine Learning : ruclips.net/p/PL5PI6wUbUq21AWSdaSR2FWBggY0sbfL67&si=JHaByZZNiXtc9m8t GitHub : github.com/rajsecrets Instagram : rajsecrets LinkedIn : www.linkedin.com/in/rajse...
Luma Dream Machine | Is the really worth the hype ? | Honest Review
Просмотров 30Месяц назад
Website : lumalabs.ai/dream-machine GitHub : github.com/rajsecrets Instagram : rajsecrets LinkedIn : www.linkedin.com/in/rajsecrets/ Chapters : #aiart #aivideogeneratorfree #generativeai #generativeadversarialnetworks #ml2ai #ai #artificialintelligence #machinelearning #chatgpt #chatgpt4 #LLM #Largelanguagemodel #DeepLearning #NeuralNetworks #Robotics #DataScience
Wasserstein GAN with Gradient Penalty | 18 | Generative Deep Learning for building LLMs
Просмотров 69Месяц назад
Wasserstein GAN with Gradient Penalty | 18 | Generative Deep Learning for building LLMs
Former NSA chief joins OpenAI board , Snowden Warned | Weekly AI News
Просмотров 732 месяца назад
Former NSA chief joins OpenAI board , Snowden Warned | Weekly AI News
How to Achieve More in less Time & Effort ? | Productivity Hack | Pareto Principle
Просмотров 422 месяца назад
How to Achieve More in less Time & Effort ? | Productivity Hack | Pareto Principle
Multiclass Classification [OVR & OVO] | 06 | Classification | Hands-On Machine Learning
Просмотров 3122 месяца назад
Multiclass Classification [OVR & OVO] | 06 | Classification | Hands-On Machine Learning
Analysis of DCGAN and Tips & Tricks | 17 | Generative Deep Learning for building LLMs
Просмотров 542 месяца назад
Analysis of DCGAN and Tips & Tricks | 17 | Generative Deep Learning for building LLMs
ROC & AUC Curve | 05 | Classification | Hands-On Machine Learning
Просмотров 9092 месяца назад
ROC & AUC Curve | 05 | Classification | Hands-On Machine Learning
Confusion Matrix - Precision - Recall - F1 Score | 04 | Classification | Hands-On Machine Learning
Просмотров 2733 месяца назад
Confusion Matrix - Precision - Recall - F1 Score | 04 | Classification | Hands-On Machine Learning
Measure Accuracy by Cross Validation | 03 | Classification | Hands-On Machine Learning
Просмотров 4743 месяца назад
Measure Accuracy by Cross Validation | 03 | Classification | Hands-On Machine Learning
GPT-4o Review + Amazing trick to be the pro
Просмотров 1883 месяца назад
GPT-4o Review Amazing trick to be the pro
OpenAI's New AI model understands your Emotions | Introducing GPT-4o
Просмотров 4833 месяца назад
OpenAI's New AI model understands your Emotions | Introducing GPT-4o
Training a Binary classifier | 02 | Classification | Hands-On Machine Learning
Просмотров 3503 месяца назад
Training a Binary classifier | 02 | Classification | Hands-On Machine Learning
Explore the MNIST Dataset | 01 | Classification | Hands-On Machine Learning for Beginners to Masters
Просмотров 933 месяца назад
Explore the MNIST Dataset | 01 | Classification | Hands-On Machine Learning for Beginners to Masters
Avoid these mistakes in Your Machine Learning Journey !
Просмотров 593 месяца назад
Avoid these mistakes in Your Machine Learning Journey !
Training and saving the model | 14 | Hands-On Machine Learning for Beginners to Masters
Просмотров 2873 месяца назад
Training and saving the model | 14 | Hands-On Machine Learning for Beginners to Masters
Is it really Chrome killer ? | ARC Browser for Windows! | Honest Review
Просмотров 6373 месяца назад
Is it really Chrome killer ? | ARC Browser for Windows! | Honest Review
Hollywood is DEAD ! AI Generates FLAWLESS Talking Faces Now! - Microsoft's VASA-1
Просмотров 1523 месяца назад
Hollywood is DEAD ! AI Generates FLAWLESS Talking Faces Now! - Microsoft's VASA-1
⚠️ EXPOSED! AI INDEX REPORT 2024 - Can Machine finally beat us at everything ?
Просмотров 603 месяца назад
⚠️ EXPOSED! AI INDEX REPORT 2024 - Can Machine finally beat us at everything ?
Are Genetically Modified Babies the Future of Humanity?
Просмотров 424 месяца назад
Are Genetically Modified Babies the Future of Humanity?
What is DCGAN ? | 16 | Generative Deep Learning for building LLMs
Просмотров 1714 месяца назад
What is DCGAN ? | 16 | Generative Deep Learning for building LLMs
Normalisation & Standardisation| 13 | Hands-On Machine Learning for Beginners to Masters
Просмотров 824 месяца назад
Normalisation & Standardisation| 13 | Hands-On Machine Learning for Beginners to Masters
good explanation!!!!
Glad you liked it!
Thanks
🌟 most welcome
Advice: Start teaching in Urdu, It would be much better, it may grab a lot of audience and also you don't seem comfortable in English either
😀 thanks bro for advice although I don't know Urdu and I will be better in English with time.
can u share link for pdf of this book
U can get it on libgen.rs website . Just search with right name.
😀
wonderful content!
I m glad you liked the content🌟
You're the most honest teacher ❤ Love it!
Thanks a lot for appreciation 😊🌟
📍Answer these questions and be featured in next video : 🌟🌟 1. Which of the following Scikit-Learn classifiers can handle multiple classes natively? A) SGDClassifier B) SVC C) LogisticRegression D) None of the above 2. What is the main difference between One-Versus-Rest (OvR) and One-Versus-One (OvO) strategies? A) OvR trains multiple classifiers, OvO trains only one B) OvR trains one classifier per class, OvO trains one classifier per pair of classes C) OvR is used for binary classification, OvO is used for regression D) OvR is faster for large datasets, OvO is faster for small datasets
Solve the Quiz and comment , I will shout out the names of winners in next video... 1. What can happen if the discriminator in a DCGAN becomes too strong? a) The generator will start producing higher quality images. b) The generator will stop learning and produce the same image repeatedly. c) The training process will become more efficient. d) The discriminator will start generating images itself. 2. Why is it difficult to monitor the training progress of a DCGAN by looking at the loss function? a) The loss function is not relevant to image quality. b) The loss function only measures the performance of the discriminator. c) The meaning of the loss function changes throughout training. d) All of the above
Will you cover everything of this book ? End to end. If yes than it would be awesome.
Yeah bro , I m covering each and every topic.
❤❤❤
😊
📸Attempt this quiz and I will give shout out 🌟to the correct ones... ---------------------------------------------------------------------------------------------------------- 1. What does the ROC curve plot? A) Precision versus Recall B) True Positive Rate (TPR) versus False Positive Rate (FPR) C) Precision versus Specificity D) Sensitivity versus Specificity ---------------------------------------------------------------------------------------------------------- 2. What is another name for the True Positive Rate (TPR)? A) Precision B) Specificity C) Recall D) Accuracy ---------------------------------------------------------------------------------------------------------- 3. Which function in Scikit-Learn is used to compute the TPR and FPR for various threshold values? A) precision_recall_curve() B) roc_curve() C) roc_auc_score() D) f1_score()
awesome work
Thanks a lot! 😊
hello dear this is a wonderful video,thank you btw,i have a question out of the context please!
Thanks 😊 Yeah plz ask any question u have !
@@MLTOAI give me your linkedin! or email
In the video description U can get my LinkedIn.
Worse video, abe chup rah tu, agar kuchh nhi aata to fill in words mat use kar Gawar malum parta hai.
strike aati hi hogi bhai OpenAI channel se 😊
😃 abhi tak to nahi aayi , let's see
Piracy lite
??
Nice video
Informative video Raj✨
I hope this was helpful for u 😊
Great
Thank you! Keep up the work👏
Thanks for your appreciation 🌟 it means a lot .
please explain the paper
Will upload on this Sunday
How to get book free bro
Libgen.rs search here you can get here any book
Absolutely enthralled by this deep dive into the "Discriminator - The Brick Dataset (GAN) | 14 | Generative Deep Learning for building LLMs"! 🌟 The meticulous deconstruction of concepts and the elucidation of the discriminator's role in the GAN architecture offers profound insights into the fabric of generative deep learning. Your exposition on leveraging the Brick Dataset to sculpt Large Language Models (LLMs) is both avant-garde and illuminating. 📚💡
Thanks a lot sapandeep 😊🌟
pdf link ???
Plz contact me on LinkedIn
grt work
Thanks a lot
Absolutely phenomenal job on creating a video series based on the "Hands-On Machine Learning for Beginners to Masters" book! 🌟 Your dedication to breaking down complex concepts into digestible, engaging content truly bridges the gap for aspiring machine learners. 🚀 The practical examples and clear explanations shine a light on the path from novice to expert. 🧠💡 Your work not only educates but inspires a deeper curiosity and passion for machine learning. Keep up the amazing work, and can't wait to see more content from you! 👏📚➡🏆 #LearningJourney #MachineLearningMagic
Thanks 😊 a lot for your appreciation 🌟
Keep working bro you are doing good work
Thank you bro 😊
I have learned web development and know python now I want to learn ML and AI what should I learn step by step pls guide
I have recently uploaded AI roadmap video , plz prefer that video and if u have any doubt then comment . Happy learning 🌟
@@MLTOAI ok thank you bro
After finishing the maths & required python libraries I am learning ML from this series and also reading the book for better understanding. Thanks for putting effort to create this ongoing series.
Great to hear! @Ankan . Keep it up 🌟
Nice bro
❤
Best Roadmap ❤❤🎉
I am In classs 11th i want to learn it😊
Please upload videos frequently. and thank you for explanation
Sure 👍
Pls upload next video. Your videos are really helpful
Will upload soon ⚡
thanks for explanation. I am able to cover various topics very quickly while studying with you.
You are most welcome 😊🌟
Keep it up bro
Thanks bro 🌟
❤❤❤
speak like a news reporter
I really like this video. You have been very honest about AI. So many people don't want to admit that Devin is going to wipe out at least 80% of sofware engineering jobs within 5 years. They say things like it won't be able to talk to clients, and negotiate new specs etc, but there will be a small team that will do that, and they will just punch those specs into AI. AI will be able to do the job of 1,000 workers saving the companies millions. I respect your video because so many youtubers are lying to they audience telling them Devin will not affect them. These youtubers have coding courses and their platform are built on talking about coding, so of course they are going to tell the audience that coding will still be a thing for years to come and their jobs will be safe, which is a lie. Tech lead warned us coding will be dead in a few years and there is no future in coding but everyone laughed and called him a hater but he was right. There is no future in coding. Thank you for your honesty in telling the truth.
It's quite natural that we want to be in the comfort zone and not using or learning AI is the comfort zone . and if anyone will not come out then off course they will be replaced . "survival of the fittest" - Darvin
@@MLTOAIexactly
Nice 👍
Thanks ✌😊
❤