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 ...

Many machine learning books tell you that having a working knowledge of linear algebra. ... This book also contains an intro on linear algebra, calculus, and probability and statistics.

Artificial intelligence owes a lot of its smarts to Judea Pearl. In the 1980s he led efforts that allowed machines to reason probabilistically. Now he’s one of the field’s sharpest critics. In ...

The book also contains important figures in data science history such as Abraham Wald, a Jewish refugee whose work on conditional probability helped guard fighter pilots from getting shot down in ...