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Seller: Half Price Books Inc., Dallas, TX, U.S.A.
hardcover. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
hardcover. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
Seller: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
Hardcover. Condition: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.
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Seller: WorldofBooks, Goring-By-Sea, WS, United Kingdom
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Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Hardback or Cased Book. Condition: New. Why Machines Learn: The Elegant Math Behind Modern AI. Book.
Seller: WorldofBooks, Goring-By-Sea, WS, United Kingdom
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Published by Penguin Books Ltd, London, 2024
ISBN 10: 0593185749 ISBN 13: 9780593185742
Language: English
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condition: new. Hardcover. 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 tumor is cancerous, or deciding if someone gets bail. They now influence developments and discoveries in chemistry, biology, and physicsthe study of genomes, extrasolar planets, even the intricacies of quantum systems. And all this before large language models such as ChatGPT came on the scene. We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth- and eighteenth-century mathematics. It took the birth and advancement of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning, while suggesting intriguing links between artificial and natural intelligence. Might the same math underpin them both? As Ananthaswamy resonantly concludes, to make safe and effective use of artificial intelligence, we need to understand its profound capabilities and limitations, the clues to which lie in the math that makes machine learning possible. "A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligence"-- Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Add to basketPAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
paperback. Condition: New. Reprint. Brand New.
Published by Penguin Books Ltd, London, 2025
ISBN 10: 1802060863 ISBN 13: 9781802060867
Language: English
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condition: new. Paperback. A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligenceMachine-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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Penguin Publishing Group, 2024
ISBN 10: 0593185749 ISBN 13: 9780593185742
Language: English
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Condition: New.
Published by Penguin Books Ltd, GB, 2025
ISBN 10: 1802060863 ISBN 13: 9781802060867
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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Add to basketPaperback. Condition: New. '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 intelligenceMachine-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.
Seller: Massive Bookshop, Greenfield, MA, U.S.A.
Hardcover. Condition: New.
Published by Penguin Books Ltd, GB, 2024
ISBN 10: 0593185749 ISBN 13: 9780593185742
Language: English
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.
Hardback. Condition: New.
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Add to basketCondition: New. 2025. Paperback. . . . . . Books ship from the US and Ireland.
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Add to basketCondition: New. 2025. Paperback. . . . . .
Seller: Dan Pope Books, West Hartford, CT, U.S.A.
First Edition
Hardcover. Condition: Fine. Dust Jacket Condition: Fine. 1st Edition. New York: Dutton, 2024. First edition, first printing stated. Hardcover. Black over black paper-covered boards with red spine lettering. Fine in a fine dust jacket. Publisher's original price intact on jacket flap ($32.00). Comes with archival-quality mylar dust jacket protector. A tight, clean, unread copy. Octavo, 465 pages including index. This book explores the mathematical foundations of modern artificial intelligence, showing how concepts such as linear algebra, calculus, and probability underlie today's machine learning breakthroughs and questioning whether the same math connects artificial and natural intelligence. Anil Ananthaswamy is a science journalist and author of "The Edge of Physics" and "Through Two Doors at Once," noted for making complex scientific ideas accessible to general readers. This is his fourth book.
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Add to basketCondition: As New. Unread book in perfect condition.
Seller: CollegePoint, Inc, Memphis, TN, U.S.A.
Hardcover. Condition: Good. We only honor returns for quality issues and won't accept reasons such as 'change my mind', 'find a better price', or 'school book requirement change', etc.