Why Learn Maths (28 results)
- Softcover
Seller: Majestic Books, Hounslow, , United KingdomMajestic Books
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- Softcover
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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- Softcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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- Softcover
Seller: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, , GermanyRheinberg-Buch Andreas Meier eK
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Taschenbuch. Condition: Sehr gut. Gebraucht - Sehr gut Leichte Lagerspuren -'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. 496 pp. Englisch.
- Softcover
Seller: WorldofBooks, Goring-By-Sea, WS, United KingdomWorldofBooks
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Paperback. Condition: Fine.
- Softcover
Seller: Revaluation Books, Exeter, , United KingdomRevaluation Books
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- Hardcover
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- Hardcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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- Softcover
Seller: Chiron Media, Wallingford, , United KingdomChiron Media
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- Softcover
Seller: Greener Books, London, , United KingdomGreener Books
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Paperback. Condition: Used; Good. **SHIPPED FROM UK** We believe you will be completely satisfied with our quick and reliable service. All orders are dispatched as swiftly as possible! Buy with confidence! Greener Books.
- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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- Hardcover
- First Edition
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.
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£ 26.01
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Condition: New. 2024. 1st Edition. hardcover. . . . . .
- Softcover
Seller: THE SAINT BOOKSTORE, Southport, , United KingdomTHE SAINT BOOKSTORE
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- Hardcover
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- Hardcover
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- Hardcover
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hardcover. Condition: New.
- Hardcover
Seller: Chiron Media, Wallingford, , United KingdomChiron Media
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£ 25.35
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Hardcover. Condition: New.
- Hardcover
Seller: Revaluation Books, Exeter, , United KingdomRevaluation Books
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£ 28.74
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Condition: Brand New. 480 pages. 6.42x1.57x9.53 inches. In Stock.
- Hardcover
Seller: THE SAINT BOOKSTORE, Southport, , United KingdomTHE SAINT BOOKSTORE
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£ 26.85
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- Hardcover
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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£ 39.43
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Condition: New.
Language: English
Published by Institute of Education University of London Bedford Way Papers, London 2000
- Softcover
- First Edition
Seller: Webbooks, Wigtown, Wigtown, , United KingdomWebbooks, Wigtown
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£ 18.00
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Soft Cover. Condition: Good. No Jacket. First Edition. From an academic library with the usual stamps and labels. Apart from the library evidence a clean tight copy. Paper covers have been laminated with clear adhesive plastic. A00017688.
Language: English
Published by Institute of Education University of London Bedford Way Papers, London 2000
- Softcover
- First Edition
Seller: Webbooks, Wigtown, Wigtown, , United KingdomWebbooks, Wigtown
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£ 18.00
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Soft Cover. Condition: Good. No Jacket. First Edition. From an academic library with the usual stamps and labels. Apart from the library evidence a clean tight copy. Paper covers have been laminated with clear adhesive plastic. A00017691.
Language: English
Published by Penguin Books Ltd, United Kingdom, London 2024
- Softcover
Seller: WorldofBooks, Goring-By-Sea, WS, United KingdomWorldofBooks
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£ 49.82
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Paperback. Condition: Very Good. 'An invaluable companion for anyone who wants a deep understanding of whats 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 sy…stems 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. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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£ 24.78
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Taschenbuch. Condition: Neu. Neuware - '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-learn…ing 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.
- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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£ 19.91
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Taschenbuch. Condition: Neu. Why Machines Learn | The Elegant Maths Behind Modern AI | Anil Ananthaswamy | Taschenbuch | 482 S. | Englisch | 2025 | Penguin Books Ltd (UK) | EAN 9781802060867 | Verantwortliche Person für die EU: Petersen Buchimport GmbH, Vertrieb, Weidestr. 122a, 22083 Hamburg, gpsr[at]petersen-buchimport[dot]com… | Anbieter: preigu.
- Softcover
Seller: Mooney's bookstore, Den Helder, NetherlandsMooney's bookstore
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£ 70.41
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Condition: Very good.
- Hardcover
Seller: preigu, Osnabrück, Germanypreigu
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£ 25.65
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Buch. Condition: Neu. Why Machines Learn | The Elegant Maths Behind Modern AI | Anil Ananthaswamy | Buch | 464 S. | Englisch | 2024 | Penguin Books Ltd (UK) | EAN 9780241586488 | Verantwortliche Person für die EU: Petersen Buchimport GmbH, Vertrieb, Weidestr. 122a, 22083 Hamburg, gpsr[at]petersen-buchimport[dot]com | Anbieter: p…reigu.
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
£ 33.80
£ 54.94 shippingShips from Germany to U.S.A.Quantity: 2 available
Buch. Condition: Neu. Neuware - '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 sys…tems 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.
