{"product_id":"why-machines-learn-anil-ananthaswamy","title":"Why Machines Learn (Anil Ananthaswamy)","description":"\u003cdiv\u003e\u003cp\u003e\u003cb\u003e'An invaluable companion for anyone who wants a deep understanding of what's under the hood of often inscrutable machines' Melanie Mitchell  \u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eA rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligence\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eMachine-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.\u003cbr\u003e\u003cbr\u003eWe 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 \u003ci\u003emathematical \u003c\/i\u003erules.\u003cbr\u003e\u003cbr\u003eAs 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.\u003c\/p\u003e\u003c\/div\u003e\u003ch4\u003eAutorenportrait\u003c\/h4\u003e\u003cdiv\u003e\n\u003cb\u003eAnil Ananthaswamy\u003c\/b\u003e is an award-winning science writer and former staff writer and deputy news editor for \u003ci\u003eNew Scientist\u003c\/i\u003e. He is the author of several popular science books including \u003ci\u003eThe Man Who Wasn't There\u003c\/i\u003e, which was long-listed for the Pen\/E. O. Wilson Literary Science Writing Award. He was a 2019-20 MIT Knight Science Journalism Fellow and the recipient of the Distinguished Alum Award, the highest award given by IIT-Madras to its graduates, for his contributions to science writing.\u003c\/div\u003e\u003ch4\u003eWeitere Angaben\u003c\/h4\u003e\u003cdiv\u003eBuch (Paperback), Trade paperback (UK), Englisch, 496 Seiten\u003c\/div\u003e","brand":"Weltbild.ch: Bücher \u0026 Outlet","offers":[{"title":"Default Title","offer_id":63442656887133,"sku":"K097808985","price":22.0,"currency_code":"CHF","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0911\/8915\/0045\/files\/227267-9780898500001A.jpg?v=1771162230","url":"https:\/\/weltbild.ch\/products\/why-machines-learn-anil-ananthaswamy","provider":"Weltbild.ch: Bücher \u0026 Outlet","version":"1.0","type":"link"}