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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
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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 production-ready Python frameworksâ??Scikit-Learn and TensorFlowâ??author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. Youâ??ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what youâ??ve learned, all you need is programming experience to get started.
- Explore the machine learning landscape, particularly neural nets
- Use Scikit-Learn to track an example machine-learning project end-to-end
- Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods
- Use the TensorFlow library to build and train neural nets
- Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning
- Learn techniques for training and scaling deep neural nets
- ISBN-101492032646
- ISBN-13978-1492032649
- Edition2nd
- PublisherO'Reilly Media
- Publication dateOctober 15, 2019
- LanguageEnglish
- Dimensions7 x 1.5 x 9.5 inches
- Print length848 pages
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From the brand
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Machine Learning, AI & more
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Machine Learning
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Artificial Intelligence
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Deep Learning
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Language Processing (NLP, LLM)
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Sharing the knowledge of experts
O'Reilly's mission is to change the world by sharing the knowledge of innovators. For over 40 years, we've inspired companies and individuals to do new things (and do them better) by providing the skills and understanding that are necessary for success.
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About the Author
Product details
- Publisher : O'Reilly Media
- Publication date : October 15, 2019
- Edition : 2nd
- Language : English
- Print length : 848 pages
- ISBN-10 : 1492032646
- ISBN-13 : 978-1492032649
- Item Weight : 2.85 pounds
- Dimensions : 7 x 1.5 x 9.5 inches
- Best Sellers Rank: #287,662 in Books (See Top 100 in Books)
- #40 in Computer Vision & Pattern Recognition
- #122 in Computer Neural Networks
- #135 in Data Processing
- Customer Reviews:
About the author

Aurélien Géron is a Machine Learning consultant. A former Googler, he led the YouTube video classification team from 2013 to 2016. He was also a founder and CTO of Wifirst from 2002 to 2012, a leading Wireless ISP in France, and a founder and CTO of Polyconseil in 2001, the firm that now manages the electric car sharing service Autolib'.
Before this he worked as an engineer in a variety of domains: finance (JP Morgan and Société Générale), defense (Canada's DOD), and healthcare (blood transfusion). He published a few technical books (on C++, WiFi, and Internet architectures), and was a Computer Science lecturer in a French engineering school.
A few fun facts: he taught his 3 children to count in binary with their fingers (up to 1023), he studied microbiology and evolutionary genetics before going into software engineering, and his parachute didn't open on the 2nd jump.
















