The lizard Book, the latest edition of the legendary “Four Great Classics” of machine learning, is here.
The original English version of this book is the American Amazon AI top list books, in artificial intelligence, computer neural network, computer vision and pattern recognition three lists, are the first!
The rate of praise at home and abroad is more than 90%!
Readers have expressed their desire for a Chinese version.
Now, the Chinese version is here!
The book is regarded as the “strongest existence” by engineers at home and abroad.
The earlier you look, the better!
If you are a beginner to AI and looking for an entry point, it is highly recommended that you use this book as a primer.
If you are an AI engineer who needs to use machine learning or deep learning algorithms to solve real-world problems, use this book as a field guide to the latest research and practical tips on deep learning.
What can this book bring me?
For beginners and engineers who want to enter the field of machine learning and deep learning, a book combining theory and practice is essential, and this book is just such a book.
Theoretically speaking, the book’s greatest feature is its depth and wide coverage, but it is easy to follow because there are not many complex mathematical formulae. This is not often seen in many machine learning books today.
In terms of actual practice, the book uses the current popular machine learning framework SciKit-Learn and deep learning framework TensorFlow and Keras. Each chapter is equipped with corresponding project examples, and the code is very practical and readable.
This book is also written for experienced engineers and is a practical guide. In particular, the list of machine learning projects in Appendix B can be followed if the industry wants to create a machine learning solution.
I’ve seen the first edition. Should I buy the second edition?
Needs. The second edition is a complete upgrade based on the latest TensorFlow 2 and the new SciKit-Learn, with nearly double the content. The author also carries on the comprehensive update to the code and the exercise in the book, helps you to advance faster, grasps the industry the latest research result.
In addition, this book is recommended by the father of Keras, a former Google engineer and machine learning senior consultant:
What was the reading experience like?
This book maintains the rigorous and clear style of O ‘Reilly’s best books, explaining the knowledge thoroughly through code comments and explanatory notes, and supporting GitHub codes, exercises and answers with clarity.
Real video introduction
Learning is the best investment in yourself! A good book is the best gift you can give yourself on Programmer’s Day! \
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AI Top list update! “Aiya” AI+ Neural network +CV three best-selling books, based on TensorFlow 2 and the new sciKit-Learn comprehensive upgrade, nearly doubled the content! Written by a former Google engineer, the father of Keras, and the head of TensorFlow mobile, this hands-on tutorial teaches you how to build a neural network from scratch. \
[Book Bonus]
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Machine learning beginner
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