WHY MACHINES LEARN: The Elegant Math Behind Modern AI
Author: Anil Ananthaswamy
ISBN: 978-0593185742
Price: Rs. 2534.40 • ✓ 100% Genuine Publisher Edition
Book Overview
About This BookA 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 physics—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. Read moreBook DetailsAuthor: Anil AnanthaswamyPublisher: E P Dutton (16 July 2024)Format: Hardcover – 16 July 2024Language: EnglishPages: 464ISBN: 978-0593185742Dimensions: 15.9 x 3.89 x 23.62 cmWeight: 1 kg 50 g
Browse this title within our Science and Technology collection. Edition details: Hardcover – 16 July 2024, English, 480 pages. Reference ISBN: 978-0593185742.
About the Author
Anil Ananthaswamy is an award-winning science writer and a 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 longlisted 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 • Hardcover – 16 July 2024
- ISBN Reference
- 978-0593185742
- Publisher
- E P Dutton
- Pan-India Delivery
- Dispatches in 24–48 Hours across India
What is this book about?
About This BookA 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...
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’ll love this if you’ve ever wondered what really powers modern AI beneath the hype. This premium, intellectually satisfying book turns intimidating math into clear, elegant ideas, showing you how centuries-old concepts drive today’s machine learning breakthroughs. It’s not a shallow overview, but a rewarding, narrative-rich reference that deepens your understanding of AI’s foundations—perfect for serious learners, tech professionals, and curious minds who want lasting insight, not just buzzwords.
- Published by E P Dutton.
- Language: English.
- Page count: 480.
Catalog Description
About This BookA 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 physics—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...
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