"Mathematics for Machine Learning" by Marc Peter Deisenroth is a comprehensive textbook focusing on the mathematical foundations of machine learning. Published by Cambridge University Press in 2020, this 1st edition trade paperback features 398 pages and covers a range of mathematical topics relevant to computer vision and pattern recognition. Written in English, this book is a valuable resource for students and professionals looking to deepen their understanding of mathematical concepts in the context of machine learning. With detailed explanations and insights, this book serves as an essential companion for those interested in the intersection of mathematics and machine learning.
| Item Length | 9.9 in |
| Subject | Mathematics |
| Publication Year | 2020-Now |
| Type | Textbook |
| Language | English |
| Item Height | 0.7 in |
| Author | Marc Peter Deisenroth |
| Features | 1st Edition |
| Item Weight | 28.2 Oz |
| Item Width | 7 in |
| Number Of Pages | 398 Pages |
| Country Of Origin | India |
“Mathematics for Machine Learning” by Marc Peter Deisenroth is a comprehensive textbook focusing on the mathematical foundations of machine learning. Published by Cambridge University Press in 2020, this 1st edition trade paperback features 398 pages and covers a range of mathematical topics relevant to computer vision and pattern recognition. Written in English, this book is a valuable resource for students and professionals looking to deepen their understanding of mathematical concepts in the context of machine learning. With detailed explanations and insights, this book serves as an essential companion for those interested in the intersection of mathematics and machine learning.
