HandsOn Machine Learning with ScikitLearn, Keras, and TensorFlow
Concepts, Tools, and Techniques to Build Intelligent Systems
by Aurélien Géron
Recommended by Tim O’Reilly and Kirk Borne
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Should I read this?
Recommended by 2 sources and appears in Neural Networks, Neural Network, and Deep Learning.
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. This practical book shows you how.By using concrete examples, minimal theory, and two pro...
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Why recommended
Recommended by 2 sources and appears in Neural Networks, Neural Network, and Deep Learning.
Recommended by notable people
People and public figures who have recommended this book.
Recommendation Signals
Recommendation proof is sourced from public posts, interviews, reading lists, and cited references.
Kirk Borne
“Handson #Jupyter Notebooks covering the Fundamentals of #MachineLearning and #DeepLearning: ———— #BigData #DataScience #Coding #DataMining #Python #DataScientists #AI #TensorFlow #abdsc —— +See also @aureliengeron’s toprated book: | Mastering Ethereum, by Andreas Antonopolous and Gavin Wood, and Hands on Machine Learning with ScikitLearn & Tensorflow, by Aurélien Géron, are both masterpieces of technical exposition. In addition to helping me keep up with worldchanging Technology,, they remind me what a gift it is to be able to put down knowledge into an artifact – a book – and pass it so effectively to others. The clarity with these authors explain complex topics is a marvel.”
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Not sure if this is the right fit?
Consider AI Superpowers by Kaifu Lee. Recommended by 20 sources.
“This book reads like a well-connected technologist’s urgent TED talk, blending personal career story, startup anecdotes, and macro predictions. What works best is a clear, alarm-bell view of China’s rapid AI rise and the coming job displacement, with tangible data and sector breakdowns. You’ll likely find it useful as a conversation starter or trend snapshot. But it often oversimplifies complex geopolitical and ethical tensions into a binary rivalry, and the determined optimism can feel boosterish. The tone may grate if you prefer nuanced, academic treatments or worry about the author’s business interests shaping the narrative.”
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Stuart RussellHow recommendation signals are reviewed
Each recommendation is collected from a public source — interviews, articles, or curated lists — and linked to its original URL. Books with many verifiable recommendations from respected people rank higher.