Why Machines Learn: The Elegant Math Behind Modern AIКНИГИ » ПРОГРАММИНГ
Название: Why Machines Learn: The Elegant Math Behind Modern AI Автор: Anil Ananthaswamy Издательство: Dutton Год: 2024 Страниц: 480 Язык: английский Формат: epub (true) Размер: 43.6 MB
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 tumour is cancerous, or deciding whether someone gets bail. They now influence developments and discoveries in chemistry, biology, and physics—the study of genomes, extra-solar 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 artifical 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.
“Why Machines Learn is a masterful work that explains—in clear, accessible, and entertaining fashion—the mathematics underlying modern machine learning, along with the colorful history of the field and its pioneering researchers. As AI has increasingly profound impacts in our world, this book will be an invaluable companion for anyone who wants a deep understanding of what’s under the hood of these often inscrutable machines.” - Melanie Mitchell, author of Artificial Intelligence and Professor at the Santa Fe Institute
“Generative AI, with its foundations in machine learning, is as fundamental an advance as the creation of the microprocessor, the Internet, and the mobile phone. But almost no one, outside of a handful of specialists, understands how it works. Anil Ananthaswamy has removed the mystery by giving us a gentle, intuitive, and human-oriented introduction to the math that underpins this revolutionary development.” - Peter E. Hart, AI pioneer, entrepreneur, and co-author of Pattern Classification
“Anil Ananthaswamy’s Why Machines Learn embarks on an exhilarating journey through the origins of contemporary machine learning. With a captivating narrative, the book delves into the lives of influential figures driving the AI revolution while simultaneously exploring the intricate mathematical formalism that underpins it. As Anil traces the roots and unravels the mysteries of modern AI, he gently introduces the underlying mathematics, rendering the complex subject matter accessible and exciting for readers of all backgrounds.” - Björn Ommer, Professor at the Ludwig Maximilian University of Munich and leader of the original team behind Stable Diffusion
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Why Machines Learn: The Elegant Math Behind Modern AI 
