| 000 | 01642nam a22002297a 4500 | ||
|---|---|---|---|
| 005 | 20260727170347.0 | ||
| 008 | 260727s2026 |||||||| |||| 00| 0 eng d | ||
| 020 | _a9781633434813 | ||
| 040 | _cPK-LaUMT | ||
| 082 |
_a006.31 _bHUR-G |
||
| 100 | 1 |
_aHurbans, Rishal _914311 |
|
| 245 | 1 | 0 |
_aGrokking AI algorithms : _bhow AI solves complex problems / _cRishal Hurbans |
| 250 | _a2nd ed. | ||
| 260 |
_aShelter Island : _bManning Publications, _c2026 |
||
| 300 | _axxix, 558 p. | ||
| 500 | _aIndex present | ||
| 520 | _aArtificial 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 | _aEng | ||
| 650 | _aMachine learning | ||
| 650 |
_aAI-Algorithms _914312 |
||
| 942 | _cBK | ||
| 999 |
_c141693 _d141693 |
||