Description

''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

Why Machines Learn

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Hardback by Anil Ananthaswamy

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''An invaluable companion for anyone who wants a deep understanding of what's under the hood of often inscrutable machines'' Melanie... Read more

    Publisher: Penguin Books Ltd
    Publication Date: 7/16/2024
    ISBN13: 9780241586488, 978-0241586488
    ISBN10: 0241586488

    Non Fiction , Mathematics & Science , Education

    Description

    ''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

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