Why machines learn: the elegant maths behind modern AI (Record no. 360138)

MARC details
000 -LEADER
fixed length control field 02058nam a22002057a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260103123552.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 260103b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781802060867
040 ## - CATALOGING SOURCE
Transcribing agency AACR-II
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31 ANA
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Ananthaswamy, Anil
9 (RLIN) 16765
245 ## - TITLE STATEMENT
Title Why machines learn: the elegant maths behind modern AI
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. London
Name of publisher, distributor, etc. Penguin Random House
Date of publication, distribution, etc. 2025
300 ## - PHYSICAL DESCRIPTION
Extent 482 p.
520 ## - SUMMARY, ETC.
Summary, etc. 'An invaluable companion for anyone who wants a deep understanding of what’s under the hood of often inscrutable machines' Melanie Mitchell<br/>A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligence<br/>Machine-learning systems are making life-altering decisions for us: approving mortgage loans, determining whether a tumour is cancerous, or deciding whether someone gets bail. They now influence discoveries in chemistry, biology and physics - the study of genomes, extra-solar planets, even the intricacies of quantum systems.<br/>We are living through a revolution in artificial intelligence that is not slowing down. This major shift is based on simple mathematics, some of which goes back centuries: linear algebra and calculus, the stuff of eighteenth-century mathematics. Indeed by the mid-1850s, a lot of the groundwork was all done. It took the development of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see all around us today. In this enlightening book, Anil Ananthaswamy explains the fundamental maths behind AI, which suggests that the basics of natural and artificial intelligence might follow the same mathematical rules.<br/>As Ananthaswamy resonantly concludes, to make the most of our most wondrous technologies we need to understand their profound limitations - the clues lie in the maths that makes AI possible.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Science & Technology
9 (RLIN) 16766
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine learning & Artificial intelligence
9 (RLIN) 16767
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Books
Holdings
Date last seen Total Checkouts Full call number Barcode Cost, replacement price Price effective from Koha item type Lost status Source of classification or shelving scheme Damaged status Not for loan Withdrawn status Home library Current library Date acquired
2026-01-03   006.31 ANA 185410 1499.00 2026-01-03 Books Not Missing Dewey Decimal Classification Not Damaged     Gandhi Smriti Library Gandhi Smriti Library 2026-01-03

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