With so many books on Python machine learning, making a choice is becoming increasingly difficult. You’re investing both your time and money to learn something that can open new career paths for ...

Machine Learning: A Practitioner’s Approach. The book is authored by Vinod Chandra and Anand Hareendran S. The book’s target demography is largely the aspiring computer science engineering graduates.

I don’t expect a book on machine learning to extensively cover deep learning, but in Hands-on Machine Learning, Geron has managed to pack a lot in 400 pages.You start with a great history of ...

For example, I think that one "introduction to machine learning" book should really be enough, there's no point in reading multiple "introductions to ML," unless you really feel like that the ...

This book explains what it covers very well, but in a field that's moving as fast as big data and machine learning, its sound but rather traditional approach may soon look a little dated.

Based on a tip from a reader, we checked 18 of the 46 citations in the book {Mastering Machine Learning: From Basics to Advanced}. Two-thirds of them either did not exist or had substantial errors….

Science publisher Springer Nature is investigating a new machine learning book filled with fabricated, AI-hallucinated citations, highlighting a growing threat to academic integrity.

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