000			02058nam a22002057a 4500
003			OSt
005			20260103123552.0
008			260103b |||||||| |||| 00| 0 eng d
020			_a9781802060867
040			_cAACR-II
082			_a006.31 ANA
100			_aAnanthaswamy, Anil _916765
245			_aWhy machines learn: the elegant maths behind modern AI
260			_aLondon _bPenguin Random House _c2025
300			_a482 p.
520			_a'An invaluable companion for anyone who wants a deep understanding of what’s under the hood of often inscrutable machines' Melanie Mitchell A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligence 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. 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. 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			_aScience & Technology _916766
650			_aMachine learning & Artificial intelligence _916767
942			_2ddc _cB
999			_c360138 _d360138