Mathematics For Machine Learning

Paperback / softback. New. This self-contained textbook introduces all the relevant mathematical concepts needed to understand and use machine learning methods, with a minimum of prerequisites. Topics include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics.

hardcover. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book.

Hardback. New. This self-contained textbook introduces all the relevant mathematical concepts needed to understand and use machine learning methods, with a minimum of prerequisites. Topics include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics.

paperback. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book.

Cambridge University Press, 2020-04-22. hardcover. New. 7x1x10. Brand New Book in Publishers original Sealing

Cambridge University Press, 2020-03-31. paperback. New. 7x0x10. Brand New Book in Publishers original Sealing