The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, opti

In recent years the development of new classification and regression algorithms based on deep learning has led to a revolution in the fields of artificial intel

Math for Deep Learning provides the essential math you need to understand deep learning discussions, explore more complex implementations, and better use the de

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and res

A mathematical introduction to deep learning, written by a group of leading experts in the field.