Many students have trouble the first time they take a mathematics course in which proofs play a significant role. This new edition of Velleman's successful text

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

Preface -- Combinatorics -- Probability -- Expectation values -- Distributions -- Gaussian approximations -- Correlation and regression -- Appendices.

Written for junior and senior undergraduates, this remarkably clear and accessible treatment covers set theory, the real number system, metric spaces, continuou

New edition includes extensive revisions of the material on finite groups and Galois Theory. New problems added throughout.