<?xml version="1.0" encoding="UTF-8"?>
<record
    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
    xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd"
    xmlns="http://www.loc.gov/MARC21/slim">

  <leader>01642nam a22002297a 4500</leader>
  <controlfield tag="005">20260727170347.0</controlfield>
  <controlfield tag="008">260727s2026    |||||||| |||| 00| 0 eng d</controlfield>
  <datafield tag="020" ind1=" " ind2=" ">
    <subfield code="a">9781633434813</subfield>
  </datafield>
  <datafield tag="040" ind1=" " ind2=" ">
    <subfield code="c">PK-LaUMT</subfield>
  </datafield>
  <datafield tag="082" ind1=" " ind2=" ">
    <subfield code="a">006.31</subfield>
    <subfield code="b">HUR-G</subfield>
  </datafield>
  <datafield tag="100" ind1="1" ind2=" ">
    <subfield code="a">Hurbans, Rishal</subfield>
    <subfield code="9">14311</subfield>
  </datafield>
  <datafield tag="245" ind1="1" ind2="0">
    <subfield code="a">Grokking AI algorithms :</subfield>
    <subfield code="b">how AI solves complex problems /</subfield>
    <subfield code="c">Rishal Hurbans</subfield>
  </datafield>
  <datafield tag="250" ind1=" " ind2=" ">
    <subfield code="a">2nd ed.</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="a">Shelter Island :</subfield>
    <subfield code="b">Manning Publications,</subfield>
    <subfield code="c">2026</subfield>
  </datafield>
  <datafield tag="300" ind1=" " ind2=" ">
    <subfield code="a">xxix, 558 p.</subfield>
  </datafield>
  <datafield tag="500" ind1=" " ind2=" ">
    <subfield code="a">Index present</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">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</subfield>
  </datafield>
  <datafield tag="546" ind1=" " ind2=" ">
    <subfield code="a">Eng</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2=" ">
    <subfield code="a">Machine learning</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2=" ">
    <subfield code="a">AI-Algorithms</subfield>
    <subfield code="9">14312</subfield>
  </datafield>
  <datafield tag="942" ind1=" " ind2=" ">
    <subfield code="c">BK</subfield>
  </datafield>
  <datafield tag="999" ind1=" " ind2=" ">
    <subfield code="c">141693</subfield>
    <subfield code="d">141693</subfield>
  </datafield>
  <datafield tag="952" ind1=" " ind2=" ">
    <subfield code="0">0</subfield>
    <subfield code="1">0</subfield>
    <subfield code="4">0</subfield>
    <subfield code="7">0</subfield>
    <subfield code="a">01</subfield>
    <subfield code="b">01</subfield>
    <subfield code="d">2026-07-27</subfield>
    <subfield code="l">0</subfield>
    <subfield code="o">006.31 HUR-G</subfield>
    <subfield code="p">153531</subfield>
    <subfield code="r">2026-07-27 17:03:58</subfield>
    <subfield code="w">2026-07-27</subfield>
    <subfield code="y">BK</subfield>
  </datafield>
</record>
