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Machine Learning Fundamentals
Customers are highly impressed with the comprehensive coverage of machine learning fundamentals in the book and find it essential for building intelligent systems using Python and the mentioned libraries. The book is a must-have resource for data scientists and ML engineers.
Up-To-Date Overview
Customers are highly impressed with the up-to-date overview and comprehensive content of the book. They find the structure well-organized, graphics informative, and code snippets clean. The GitHub support is a significant added value for readers.
Clear Explanations
Customers highly praise the clear explanations in the book, which include visuals such as images, graphs, and tables that help them understand theoretical concepts. They also appreciate the well-written and organized information, making it an effective learning resource for machine learning with Scikit-Learn, Keras, and TensorFlow. However, a few customers mention minor issues like the book not lying flat when closed and some sections having wavy pages.
Highlights
Quality
It makes a great roadmap to the current state of machine learning and, best of all, it makes learning about ml fun!
, its easily digestible and it gives great examples with data that is easily available.
My review is preliminary - i've read bits of the online draft version-and the clarity and superb organization of géron's writin... Read More
The publication quality of the print edition is great.
Price
, does not seem to be in my future at a bargain price.
Packaging/appearance
Looks like i'll be checking the 3rd edition!
Competitiveness
The github has a lot of python projects of machine learning.
Now i buy the 2nd edition because the tensorflow 2 has merged with keras, which means we can avoid to learn the hard syntax of ... Read More
That is better than some programming machine learning books that do not have any math.
Overview
- How are reviewers describing this item?
textbook, best, online, down and available. - Our engine has profiled the reviewer patterns and has determined that there is minimal deception involved.
- Our engine has detected that Amazon has altered, modified or removed reviews from this listing. We approximate total reviews altered up to 473.
- Our engine has discovered that over 90% high quality reviews are present.
- This product had a total of 3,388 reviews as of our last analysis date on Apr 4 2025.
Helpful InsightsBETA
Posted by a reviewer on Amazon
Im currently getting my ms in health data science and this was the book we had to get for my machine learning class
Posted by a reviewer on Amazon
I was annoyed when the teacher said the class would be textbook heavy and he was only going lecture on high level concepts i thought there was no way textbook would be able to a carry a class and boy was i wrong
Posted by a reviewer on Amazon
You can write completely functional ml code from this book alone but one of the best features is that the book has github site broken down chapter by chapter that helps fill the code out
Posted by a reviewer on Amazon
Im oldschool so sitting down with a book and copying code examples takes me back and is a familiar experience
Posted by a reviewer on Amazon
The full code is on github but i recommend using it for reference only
Posted by a reviewer on Amazon
What this book isnt and doesnt pretend to be is an introduction to python
Posted by a reviewer on Amazon
Some basic programming knowledge is needed but if you want to work in the field youd need that anyway and you shouldnt be afraid to dive into it
Posted by a reviewer on Amazon
I had a 1st edition of the book but did not have time to read
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