Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, ​Aurélien Géron

Concepts, Tools, and Techniques to Build Intelligent Systems

2nd Edition
Updated fot TensorFlow 2

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Language: English

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Through a series of breakthroughs, Deep Learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use sim- ple, efficient tools to implement programs capable of learning from data. The updated edition of this best-selling book uses concrete examples, minimal theory, and production-ready Python frameworks to help you gain an intuitive understanding of the concepts and tools for building intelligent systems.

You'll learn a range of techniques that you can quickly put to use. With exercises in each chapter to help you apply what you've learned, all you need is programming experience to get started. All code is available on GitHub. lt has been updated to TensorFlow 2 and the latest version of Scikit-Learn.

• Learn Machine Learning fundamentals through an end-to-end project using Scikit-Learn and pandas
• Build and train many neural network architectures for classification and regression using TensorFlow 2
• Discover object detection, semantic segmentation, attention mechanisms, language models, GANs, and more
• Explore the Keras API, the official high-level API for TensorFlow 2
• Productionize TensorFlow models using TensorFlow's Data API, distribution strategies API, TF Transform, and TF-Serving
• Deploy on Google Cloud Al Platform or on mobile devices
• Exploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detection
• Create autonomous learning agents with Reinforcement Learning, including using the TF-Agents library 

"An exceptional resource to study Machine Learning. You will find clear-minded, intuitive explanations, and a wealth of practical tips." — François Chollet Author of Keras, author of Deep Learning with Python

"This book is a great introduction to the theory and practice of solving problems with neural networks; I recommend it to anyone interested in learning about practical  ML" — Pete Warden Mobile Lead for TensorFlow

Aurélien Géron is a machine learning consultant and trainer. A former Googler, he led YouTube's video classification team from 2013 to 2016. He was also a founder and CTO of Wifirst (a leading Wireless ISP in France) from 2002 to 2012. 

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, ​Aurélien Géron, like new
O'Reilly Media, Inc, Sebastopol, Second Edition (September 2019), Fourth Release (March 2020), paperback, 882 pages
ISBN 9781492032649

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