[PDF] Download Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems Full
                      
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Book Description
 
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.The updated edition of
this best-selling book uses concrete examples, minimal theory, and two production-ready Python
frameworks--Scikit-Learn and TensorFlow 2--to help you gain an intuitive understanding of the
concepts and tools for building intelligent systems. Practitioners will learn a range of techniques
that they can quickly put to use on the job. Part 1 employs Scikit-Learn to introduce fundamental
machine learning tasks, such as simple linear regression. Part 2, which has been significantly
updated, employs Keras and TensorFlow 2 to guide the reader through more advanced machine
learning methods using 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.NEW FOR THE
SECOND EDITION: Updated all code to TensorFlow 2Introduced the high-level Keras APINew
and expanded coverage including TensorFlow's Data API, Eager Execution, Estimators API,
deploying on Google Cloud ML, handling time series, embeddings and moreWith Early Release
ebooks, you get books in their earliest form--the author's raw and unedited content as he or she
writes--so you can take advantage of these technologies long before the official release of these
titles. You'll also receive updates when significant changes are made, new chapters are available,
and the final ebook bundle is released.
 
 
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