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.

• Author: Marc Peter (University College London ) Deisenroth, A. Aldo ( Imperial College London ) Faisal
• Publishing house: Cambridge University Press
• Rok of issue: 2020
• Cover: soft
• Number of pages: 398
• Dimensions: 23.4 x 44.4 x 1.5 cm
• Illustrations: Worked examples or Exercises; 106 Halftones, color; 3 Halftones, black and white
• Language: English
• ISBN: 9781108455145