Mathematics for machine learning
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Publisher
Cambridge University Press
Resumen
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 traditionally taught in disparate c...
Descripción
371 páginas