Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
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Aurélien Géron
7 in1.5 in9.5 in
en
856
October 15, 2019
2019
O'Reilly Media
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.
Using practical examples and focusing on essential theory, Aurélien Géron guides you through mastering intelligent system development with two robust Python frameworks—Scikit-Learn and TensorFlow. This book covers a spectrum of methods, from basic linear regression to advanced deep neural networks. Each chapter includes exercises designed to reinforce your understanding, requiring only prior programming knowledge to begin.
* 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
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