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.

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 ...

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….

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.

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

The open-source mlr3 machine learning ecosystem, on which the book is based, has been used widely in academia and industry for many years. Kotthoff is one of the principal developers of the software, ...

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