Paperback. Condizione: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Da: Better World Books: West, Reno, NV, U.S.A.
Condizione: Good. Used book that is in clean, average condition without any missing pages.
Condizione: As New. Unread book in perfect condition.
Condizione: New.
Condizione: New.
EUR 19,46
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Condizione: New. Reprint edition NO-PA16APR2015-KAP.
Da: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Condizione: Good. Item in good condition and has highlighting/writing on text. Used texts may not contain supplemental items such as CDs, info-trac etc.
Condizione: New.
Condizione: New.
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
Hardback or Cased Book. Condizione: New. Why Machines Learn: The Elegant Math Behind Modern AI. Book.
Paperback. Condizione: New.
Condizione: New.
Condizione: As New. Unread book in perfect condition.
EUR 17,82
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
EUR 25,65
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Condizione: New.
Da: Dan Pope Books, West Hartford, CT, U.S.A.
Prima edizione
Hardcover. Condizione: Fine. Condizione sovraccoperta: 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.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 21,45
Quantità: 10 disponibili
Aggiungi al carrelloCondizione: New.
Hardcover. Condizione: New.
EUR 26,57
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
hardcover. Condizione: New. New from the publisher.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 24,28
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
EUR 16,15
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New. Idioma/Language: Inglés. 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 physicsâ"the 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. In a brand-new afterword exclusively in the paperback edition, Ananthaswamy dives into the Transformer architecture that makes large language models like ChatGPT possible and points to groundbreaking future directions enabled by the technology. *** Nota: Los envíos a España peninsular, Baleares y Canarias se realizan a través de mensajería urgente. No aceptamos pedidos con destino a Ceuta y Melilla.
EUR 24,74
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. reprint edition. 482 pages. 9.25x6.25x1.00 inches. In Stock.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 22,58
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
EUR 25,00
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 496 pages. 5.98x1.46x9.13 inches. In Stock.
EUR 19,46
Quantità: 5 disponibili
Aggiungi al carrellopaperback. Condizione: New. Reprint. Special order direct from the distributor.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 19,85
Quantità: 7 disponibili
Aggiungi al carrelloCondizione: New.
Hardcover. Condizione: 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.