Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Description
Graphics in this book are printed in black and white.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 frameworks—scikit-
learn and TensorFlow—author Aurélien Géron helps you gain an intuitive
understanding of the concepts and tools for building intelligent systems.
You’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 you’ve learned, all you need is programming experience to get
started.Explore the machine learning landscape, particularly neural netsUse
scikit-learn to track an example machine-learning project end-to-endExplore
several training models, including support vector machines, decision trees,
random forests, and ensemble methodsUse the TensorFlow library to build and
train neural netsDive into neural net architectures, including convolutional
nets, recurrent nets, and deep reinforcement learningLearn techniques for
training and scaling deep neural netsApply practical code examples without
acquiring excessive machine learning theory or algorithm details Read more
Features:
Product Details:
- Publisher : O'Reilly Media; 1st edition (May 9, 2017)
- Language : English
- Paperback : 572 pages
- ISBN-10 : 1491962291
- ISBN-13 : 99
- Item Weight : 2.17 pounds
- Dimensions : 7 x 1.29 x 9.19 inches
- Best Sellers Rank: #338,706 in Books (See Top 100 in Books) #122 in Computer Neural Networks #130 in Natural Language Processing (Books) #585 in Artificial Intelligence & Semantics
- #122 in Computer Neural Networks
- #130 in Natural Language Processing (Books)

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