Mathematics For Machine Learning

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.

• | By (Author): Marc Peter (University College London) Deisenroth
• | Publisher: Cambridge University Press
• | Publication Date: Apr 23, 2020
• | Country of Publication: United Kingdom
• | Number of Pages: 398 pages
• | Language: Unknown
• | Binding: Softback
• | ISBN-10: 110845514X
• | ISBN-13: 9781108455145