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Grokking AI algorithms : (Record no. 141693)

MARC details
000 -LEADER
fixed length control field 01642nam a22002297a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260727170347.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 260727s2026 |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781633434813
040 ## - CATALOGING SOURCE
Transcribing agency PK-LaUMT
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31
Item number HUR-G
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Hurbans, Rishal
245 10 - TITLE STATEMENT
Title Grokking AI algorithms :
Remainder of title how AI solves complex problems /
Statement of responsibility, etc Rishal Hurbans
250 ## - EDITION STATEMENT
Edition statement 2nd ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Shelter Island :
Name of publisher, distributor, etc Manning Publications,
Date of publication, distribution, etc 2026
300 ## - PHYSICAL DESCRIPTION
Extent xxix, 558 p.
500 ## - GENERAL NOTE
General note Index present
520 ## - SUMMARY, ETC.
Summary, etc Artificial intelligence algorithms are the backbone of search and optimization, deep learning, reinforcement learning, and, of course, generative AI. This book introduces the most important AI algorithms using relatable illustrations, interesting examples, and thought-provoking exercises. Written in simple language and with lots of visual references and hands-on code examples, it helps you build a natural intuition into how intelligent systems learn, plan, and adapt. This second edition has been thoroughly revised, with new chapters on large language models, image generation, and more. You know you can solve a problem with AI--but how? Which algorithm do you pick and how do you properly implement it? This book makes it simple and easy to understand the most core and common AI approaches. You'll learn how to understand problem types, map real-world tasks to those problems, and how to design and implement the right algorithm--all following clear visual examples, pseudocode, and learning-oriented examples
546 ## - LANGUAGE NOTE
Language note Eng
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element AI-Algorithms
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Damaged status Home library Current library Date acquired Full call number Barcode Date last seen Price effective from Koha item type
      UMT Main Campus UMT Main Campus 2026-07-27 006.31 HUR-G 153531 2026-07-27 2026-07-27 Books