Mathematics For Machine learning (Record no. 51008)

MARC details
000 -LEADER
fixed length control field 01587 a2200181 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250804180213.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781108455145
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31 DEI
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Deisenroth, Marc Peter
245 ## - TITLE STATEMENT
Title Mathematics For Machine learning
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Cambridge University Press
Date of publication, distribution, etc 2020
Place of publication, distribution, etc New York
300 ## - PHYSICAL DESCRIPTION
Extent 371
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine Learning - Mathematics
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Faisal, A. Aldo
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Ong, Cheng Soon
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Source of classification or shelving scheme Dewey Decimal Classification

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