Mathematics for Machine Learning

Mathematics for Machine Learning
Author :
Publisher : Cambridge University Press
Total Pages : 392
Release :
ISBN-10 : 9781108569323
ISBN-13 : 1108569323
Rating : 4/5 (323 Downloads)

Book Synopsis Mathematics for Machine Learning by : Marc Peter Deisenroth

Download or read book Mathematics for Machine Learning written by Marc Peter Deisenroth and published by Cambridge University Press. This book was released on 2020-04-23 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.


Mathematics for Machine Learning Related Books

Mathematics for Machine Learning
Language: en
Pages: 392
Authors: Marc Peter Deisenroth
Categories: Computers
Type: BOOK - Published: 2020-04-23 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, opti
Topics in Algebra
Language: en
Pages: 405
Authors: I. N. Herstein
Categories: Mathematics
Type: BOOK - Published: 1991-01-16 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

New edition includes extensive revisions of the material on finite groups and Galois Theory. New problems added throughout.
Exercises in arithmetic. [With] Answers
Language: en
Pages: 144
Authors: Stewart W. and co
Categories:
Type: BOOK - Published: 1884 - Publisher:

DOWNLOAD EBOOK

Student Solution Manual for Foundation Mathematics for the Physical Sciences
Language: en
Pages: 223
Authors: K. F. Riley
Categories: Science
Type: BOOK - Published: 2011-03-28 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

This Student Solution Manual provides complete solutions to all the odd-numbered problems in Foundation Mathematics for the Physical Sciences. It takes students
Wharton's Complete Solutions of Every Class of Examples in Algebra ...
Language: en
Pages: 460
Authors: James Wharton (M.A., M.C.P.)
Categories:
Type: BOOK - Published: 1863 - Publisher:

DOWNLOAD EBOOK