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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems 2nd Edition, Kindle Edition
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About the Author
Aurélien Géron is a machine learning consultant and trainer. A former Googler, he led YouTube's video classification team from 2013 to 2016. He was also a founder and CTO of Wifirst (a leading Wireless ISP in France) from 2002 to 2012, and a founder and CTO of two consulting firms -- Polyconseil (telecom, media and strategy) and Kiwisoft (machine learning and data privacy).--This text refers to the paperback edition.
- ASIN : B07XGF2G87
- Publisher : O'Reilly Media; 2 edition (5 September 2019)
- Language : English
- File size : 73834 KB
- Simultaneous device usage : Unlimited
- Text-to-Speech : Enabled
- Enhanced typesetting : Enabled
- X-Ray : Not Enabled
- Word Wise : Not Enabled
- Print length : 858 pages
- Best Sellers Rank: 133,406 in Kindle Store (See Top 100 in Kindle Store)
- Customer Reviews:
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Top reviews from Australia
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This book starts from scratch (from scikit-learn) and introduces the maths. Although you will need college level maths to take apart and really understand all the equations, I believe you will get by with minimal maths. Some familiarity with Python will help the reader, as a lot of the learning is achieved by code examples in the book (which is expanded through code given in the github repository). Mostly nicely written python code which are simple to follow with lots of helpful comments.
Well written, nice language, nice diagrams and plots in color, and aimed at the college level reader which is about right for a data science book. I would recommend it to anyone who is in search of a good book to learn ML, and comfortable in python coding and some grounding in maths. If you are interesting in data science, you should be reasonably comfortable around linear algebra, basic calculus, probability and statistics anyway.
It would be better if it shows you the tools and then it has a challange section where you apply it on a downloadable dataset. Then it shows you the solution. Followed by another problem with no solution thats slightly different. It should give you the tools and the logic NOT a single chain of work to follow.
The book doesn't teach, its more a reference if you already knew.
Top reviews from other countries
I ordered on Kindle as much prefer reading that way
Recommended if new to ML/DL/NN etc