Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
by Aurélien Géron · first published 2019
67% recommend25% neutral8% critical
Why HN recommends it
Hands-on guide that pairs ML theory with working code in scikit-learn, Keras and TensorFlow. It offers a broad, practical overview of machine learning for practitioners and learners.
Summarised by Claude from recommending comments
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. The updated edition of this best-selling book uses concrete examples, minimal theory, and two production-ready Python frameworks--Scikit-Learn and TensorFlow 2--to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. Practitioners will learn a range of techniques that they can quickly pu
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"Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" (2019) 2nd ed. by Geron is rated 5-stars with 1723 reviews on Amazon, with good reason.
on “Ask HN: What are the next steps I should take after finishing ML on coursera?” ↗Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (2019) by Aurélien Géron is very good, both covering theory and presenting code.
on “Ask HN: Serious Machine Learning Python books that can replace a good course?” ↗…skip C. https://www.youtube.com/watch?v=aircAruvnKk&list=PLZHQObOWTQ... https://www.youtube.com/watch?v=jGwO_UgTS7I&ab_channel=Stanf... There's tons of book, but I recommend this since it's hands on "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-T... https://developers.google.com/machine-learning/crash-course download some local LLMs and play with them along the way. Good luck.
on “Getting into AI This Summer” ↗"Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems, 2nd ed." by Aurélien Géron (2022), published by O'Reilly, is one of my favorite technical books ever. It was published before LLMs became…
on “Ask HN: How to get started with Machine Learning?” ↗…latest developments in dl? Some other recommendations include "Python Machine Learning" by Sebastian Raschka and Vahid Mirjalili "Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron
on “Ask: Is d2l.AI better book for latest deep learning?” ↗…research, your answer will be very different than if you are learning machine learning to start a business or create something with the ML tools/applications available today. General knowledge ML book: * Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems 3rd Edition by Aurélien Géron General knowledge data applications book: * Designing Data-Intensive Applications: The Big Ideas Behind Reliable,…
on “Ask HN: What's the best way to learn machine learning in 2024?” ↗…Depending on your existing background knowledge, there's a lot to be said for going out and getting a copy of Artificial Intelligence: A Modern Approach and reading through it. Likewise for something like Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow. Beyond that: there are some decent sub-reddits for keeping up with AI happenings, a lot of good Youtube channels (although a lot of the ones that talk about the "current, trendy" AI stuff tend to be…
on “Ask HN: Recommendation for a SWE looking to get up to speed with latest on AI” ↗…apologize to the authors of the books I've absorbed. No doubt you've worked exceptionally hard. For what it's worth, I do recommend your books to others who may be in a position to buy them. I like: - Hands-on Machine Learning with Scikit-Learn, Keras, and Tensorflow, 2nd Edition - IPython Interactive Computing and Visualization Cookbook 2nd Edition - Nick McClure - TensorFlow Machine Learning Cook (2017) These are easily found on Library Genesis, which has become…
on “Confessions of a Book Pirate (2010)” ↗…light weight replacement for say an Andrew NG course. You wont learn anything practical / code something in PyTorch or Tensorflow but you ll understand what happens under the hood in these framework "Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" is an amazing introduction to implementing all ML ideas. I think there is a new PyTorch version. The accompanying notebook will get you started…
on “Machine Learning Engineering Book” ↗…there, although reading papers on other neural architectures, training methods, etc. helped with other experimentation. You may be well past this, but my biggest general recommendation is the book, "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" to quickly cover a broad range of statistics, APIs, etc., at the right level of practicality before going further into different areas (for PyTorch, I'm not sure what’s best). Similarly, I was familiar…
on “Show HN: ChessCoach – A neural chess engine that comments on each player's moves” ↗I've read this book a couple of times, with my most recent re-read being within the last year or two. So I guess that means that I, for one at least, find something of value in SofM even now. So the question then might be "what do you find valuable in it?" That would take a lot of words to answer fully, but let me start by saying that I agree with a lot of the other comments in on this post. The
on “Ask HN: What is the relevance today of Minsky's “Society of Mind” concept?” ↗…build neural networks, use logistic / linear regressions etc., and finally compete on Kaggle. I am pretty good with math, and I have lot of experience with Software Development. edit: Is something like "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" good idea to pick up now?
on “Ask HN: What are the next steps I should take after finishing ML on coursera?” ↗How this book is different from the "The Hundred-Page Machine Learning Book" or "Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems"?
on “Machine Learning Engineering Book” ↗…The ones for beginners, like "Learning Python" or "JavaScript: The Definitive Guide", - The ones that will be outdated even before reaching the shelves of a library, such as "Kubernetes in Action" or "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow", - The ones that are more about concepts such as "Clean Code". I can't see any of those being used as a reference book. The Internet and official documentations is the reference book. [1] https://www.toptechskills.com/top-tech-books/
on “Most books don't sell only a dozen copies” ↗…to build neural networks, use logistic / linear regressions etc., and finally compete on Kaggle. I am pretty good with math, and I have lot of experience with Software Development. Is something like "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" good idea to pick up now?
on “Ask HN: What are the next steps I should take after finishing ML on coursera?” ↗