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Mathematics for machine learning / (Record no. 36026)

000 -LEADER
fixed length control field 02657cam a2200325 i 4500
003 - CONTROL NUMBER IDENTIFIER
control field jomaaum
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250723141613.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 191130t20202020enka b 001 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781108455145
049 ## - LOCAL HOLDINGS (OCLC)
Holding library WTUU
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q325.5
Item number .D45 2020
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31
Edition number 23
Item number D325
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Deisenroth, Marc Peter,
9 (RLIN) 46821
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Mathematics for machine learning /
Statement of responsibility, etc Marc Peter Deisenroth, University College London ; A. Aldo Faisal, Imperial College London ; Cheng Soon Ong, Data61, CSIRO.
264 #1 - Publication, Copyright Notice (RDA)
Place of production Cambridge, United Kingdom ;
Name of publisher Cambridge University Press,
Date of publication 2020.
300 ## - PHYSICAL DESCRIPTION
Extent xvii, 371 p . :
Other physical details illustrations (some color) ;
Dimensions 26 cm.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Mathematical foundations. Introduction and motivation -- Linear algebra -- Analytic geometry -- Matrix decompositions -- Vector calculus -- Probability and distributions -- Continuous optimization -- Central machine learning problems. When models meet data -- Linear regression -- Dimensionality reduction with principal component analysis -- Density estimation with Gaussian mixture models -- Classification with support vector machines.
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"--Provided by publisher.
590 ## - LOCAL NOTE (RLIN)
Local note In memoriam Thomas J. Whitman.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning
General subdivision Mathematics.
9 (RLIN) 44856
Topical term or geographic name as entry element Neural networks (Computer science)
9 (RLIN) 6945
Topical term or geographic name as entry element Intelligent agents (Computer software)
9 (RLIN) 27013
Topical term or geographic name as entry element Apprentissage automatique
9 (RLIN) 46822
Topical term or geographic name as entry element Machine learning
Topical term or geographic name as entry element Robotics
9 (RLIN) 3568
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Faisal, A. Aldo,
Relator term author.
9 (RLIN) 46824
Personal name Ong, Cheng Soon,
Relator term author.
9 (RLIN) 46825
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Lost status Cost, normal purchase price Withdrawn status Source of acquisition Cost, replacement price Damaged status Barcode Shelving location Current location Public note Full call number
2025-02-09AUM Main Library2025-07-18 2025-07-18 Book 26.99 بنك الكتب الطبية و الأكاديمية26.99 AUM-026472English Collections HallAUM Main Library202500085006.31 D325