Why Machines Learn: The Elegant Maths Behind Modern AI
Author: Anil Ananthaswamy
ISBN: 978-1802060867
Price: Rs. 1299.00 • ✓ 100% Genuine Publisher Edition
Book Overview
About This Book'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. Read moreBook DetailsAuthor: Anil AnanthaswamyPublisher: Penguin (28 August 2025); Penguin Random House Ireland Limited; productsafety@penguin.co.ukFormat: Paperback – 28 August 2025Language: EnglishPages: 480ISBN: 978-1802060867Dimensions: 15.2 x 3.7 x 23.2 cmWeight: 500 g
Browse this title within our Science and Technology collection. Edition details: Paperback – 28 August 2025, English, 480 pages. Reference ISBN: 978-1802060867.
About the Author
Anil Ananthaswamy is an award-winning science writer and former staff writer and deputy news editor for New Scientist. He is the author of several popular science books including The Man Who Wasn’t There, 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.
Book Specifications & Quick Facts
- Reading Level
- General / Adult
- Language & Format
- English • Paperback – 28 August 2025
- ISBN Reference
- 978-1802060867
- Publisher
- Penguin
- Pan-India Delivery
- Dispatches in 24–48 Hours across India
What is this book about?
About This Book'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...
Who should read this book?
Valuable for university students, educators, and scholars seeking authoritative reference material and structured subject mastery.
Why Readers Pick This Edition
- You don’t just hear about what AI can do—you finally understand why it works. This premium, reference-worthy guide peels back the black box and shows you the elegant maths powering modern machine learning, from centuries-old calculus to today’s algorithms. Written with clarity and narrative flow, it rewards careful reading and deepens your confidence with every chapter. Perfect if you want a serious, lasting grasp of AI rather than surface-level buzzwords.
- Published by Penguin.
- Language: English.
- Page count: 480.
Catalog Description
About This Book'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...
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