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The surprise bestselling tour de force from a former president of the Royal Statistical Society- the essential guide to statistical science in the age of ...
An accessible introduction to algorithms, explaining not just what they are but how they work, with examples from a wide range of application areas
An ...
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are ...
If you like any kind of game at all, you'll enjoy the amazing mathematical brainteasers in this entertaining book. No special mathematics training is ...