Mathematics for machine learning / (Record no. 66691)

MARC details
000 -LEADER
fixed length control field 01682nam a22001577a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210715b2020 ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781108455145
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31 DEI-M
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Deisenroth, Marc Peter
245 ## - TITLE STATEMENT
Title Mathematics for machine learning /
Statement of responsibility, etc. Marc Peter Deisenroth, A. Aldo Faisal and Cheng Soon Ong
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. United kingdom
Name of publisher, distributor, etc. Cambridge University Press
Date of publication, distribution, etc. 2020
300 ## - PHYSICAL DESCRIPTION
Extent 371 p.
365 ## - TRADE PRICE
Price type code GBP
Price amount 35.99.
Unit of pricing 36.99
500 ## - GENERAL NOTE
General note 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 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 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 website.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning -- Mathematics.
952 ## - LOCATION AND ITEM INFORMATION (KOHA)
Withdrawn status
952 ## - LOCATION AND ITEM INFORMATION (KOHA)
Withdrawn status
952 ## - LOCATION AND ITEM INFORMATION (KOHA)
Withdrawn status
952 ## - LOCATION AND ITEM INFORMATION (KOHA)
Withdrawn status
365 ## - TRADE PRICE
-- 41918
-- 17602
-- Great Britain Pound
-- 23.05.2023
-- 27.05.2023
Holdings
Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Total Checkouts Total Renewals Full call number Barcode Checked out Date last seen Date last checked out Price effective from Koha item type Public note Cost, normal purchase price
  Dewey Decimal Classification     003-007 BITS Pilani Hyderabad BITS Pilani Hyderabad Text & Reference Section (Student cannot borrow these books) 15/07/2021 6 5 006.31 DEI-M 42508 17/12/2024 01/05/2024 01/05/2024 15/07/2021 Course Text Book DST Project Book  
  Dewey Decimal Classification     003-007 BITS Pilani Hyderabad BITS Pilani Hyderabad Text & Reference Section (Student cannot borrow these books) 23/02/2023 4 1 006.31 DEI-M 47106 04/10/2025 07/04/2025 07/04/2025 23/02/2023 Course Text Book   36.99
  Dewey Decimal Classification     003-007 BITS Pilani Hyderabad BITS Pilani Hyderabad Text & Reference Section (Student cannot borrow these books) 07/03/2023 4 1 006.31 DEI-M 47104 12/08/2025 16/05/2025 16/05/2025 07/03/2023 Course Text Book    
  Dewey Decimal Classification     003-007 BITS Pilani Hyderabad BITS Pilani Hyderabad Text & Reference Section (Student cannot borrow these books) 07/03/2023 2   006.31 DEI-M 47105 12/08/2025 07/02/2025 07/02/2025 07/03/2023 Course Text Book    
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