Machine Learning with TensorFlow, Second Edition you own this product

Chris A. Mattmann
  • December 2020
  • ISBN 9781617297717
  • 456 pages
  • printed in black & white
  • Available translations: Simplified Chinese
Look inside
Updated with new code, new projects, and new chapters, Machine Learning with TensorFlow, Second Edition gives readers a solid foundation in machine-learning concepts and the TensorFlow library. Written by NASA JPL Deputy CTO and Principal Data Scientist Chris Mattmann, all examples are accompanied by downloadable Jupyter Notebooks for a hands-on experience coding TensorFlow with Python. New and revised content expands coverage of core machine learning algorithms, and advancements in neural networks such as VGG-Face facial identification classifiers and deep speech classifiers.

about the technology

Supercharge your data analysis with machine learning! ML algorithms automatically improve as they process data, so results get better over time. You don’t have to be a mathematician to use ML: Tools like Google’s TensorFlow library help with complex calculations so you can focus on getting the answers you need.

about the book

Machine Learning with TensorFlow, Second Edition is a fully revised guide to building machine learning models using Python and TensorFlow. You’ll apply core ML concepts to real-world challenges, such as sentiment analysis, text classification, and image recognition. Hands-on examples illustrate neural network techniques for deep speech processing, facial identification, and auto-encoding with CIFAR-10.

what's inside

  • Machine Learning with TensorFlow
  • Choosing the best ML approaches
  • Visualizing algorithms with TensorBoard
  • Sharing results with collaborators
  • Running models in Docker

about the reader

Requires intermediate Python skills and knowledge of general algebraic concepts like vectors and matrices. Examples use the super-stable 1.15.x branch of TensorFlow and TensorFlow 2.x.

about the author

Chris Mattmann is the Division Manager of the Artificial Intelligence, Analytics, and Innovation Organization at NASA Jet Propulsion Lab. The first edition of this book was written by Nishant Shukla with Kenneth Fricklas.

A practical, no-nonsense, original approach to machine learning.

Alain Couniot, Sopra Steria Benelux

An excellent book for readers who want to learn TensorFlow and machine learning.

Bhagvan Kommadi, ValueMomentum

A great way to learn the ins and outs of TensorFlow, from the fundamentals to autoencoders, CNNs, and sequence-to-sequence models.

Ariel Gamiño, GLG

Full of practical examples illustrating the concepts in a clear, progressive approach. This book is worth your while!

Alain Lompo, ISO-GRUPPE
5
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“Great deal”
this book is related to my current job research
January 14, 2022 by Eric Y. (Beijing, CN)
“Interested in staying ahead of changes in technology.”
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Manning is a dedicated publisher of computer books for people who are professionally involved with the information science.
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Many authors are professionals in the field of information science.
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“Great value”
The best ML book, even better with the edition
May 26, 2021 by Beril
“The best machine learning book so far. Very engaging, easy to understand and covers everything which is ultimately important.”
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High quality and very useful books
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“Great buy”
2nd edition is a must have right now
April 12, 2021 by A Reviewer (US)
“An extremely helpful and usable book with Tensorflow for deep learning.”
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“Great value”
April 9, 2021 by A Reviewer (US)
“Chris' writing is detailed without being overwhelming for those of us trying to gain an understanding of AI and ML. Highly recommend this book.”
Verified Buyer
“Great buy”
March 29, 2021 by Phillip I. (WA, United States)
“Dr. Mattmann is a great author, the content is a great way to learn from one of the most knowledgeable and influential people in Machine Learning and the applications of TensorFlow. His website has a lot of information about Dr. Mattmann and his various accomplishments (www.Mattmann.ai)

Manning has a great e-book layout and Dr. Mattmann is very active in the community of Twitter, Instagram, Facebook, Linkedin, and Clubhouse. You can actively get in touch with Dr. Mattmann and you can ask Him questions about the material and any ideas you may have regarding the applications of TensorFlow, Python, or Machine Learning.

Dr. Mattmann I hope will continue to write books and be involved in the community, He has changed lives and will continue to do so.

MARS 2020”
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This author in the second edition is great
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