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.

But they’re not enough. Machine learning requires both good coding and math skills and a deep understanding of various types of algorithms. If you’re doing Python machine learning, you have to ...

Also to be able to read books and papers and to understand the theory behind machine learning you will need to have some knowledge of math. In particular, the following topics would be very useful ...

Machine learning concepts such as loss functions, learning rate, activation functions, and dimensionality reduction are not covered in classic math books. There are more specialized resources for ...

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GitHub assembled a list of the most popular languages used for machine learning that it hosts on its site—some of which may surprise you. This ebook offers a concise overview of the top 10 ...