Book Why Machines Learn: The Elegant Math Behind Modern AI PDF Download - Anil Ananthaswamy

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Why Machines Learn: The Elegant Math Behind Modern AI
Anil Ananthaswamy
Page: 496
Format: pdf, ePub, mobi, fb2
ISBN: 9780593185766
Publisher: Penguin Publishing Group

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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 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.

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.

Why Machines Learn: The Elegant Math Behind Modern AI
In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning, while suggesting intriguing links between artifical and .
Favorite Books for Learning the Math Behind Machine Learning?
Why Machines Learn: The Elegant Maths Behind Modern AI. Mathematics . Best Books on AI and Machine Learning · Best Math Books · Best AI .
Why Machines Learn by Anil Ananthaswamy
In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning, while suggesting intriguing links between artificial and .
Book Review: Why Machines Learn - Mindful Modeler - Substack
Why Machines Learn: The Elegant Maths Behind Modern AI by Anil Ananthaswamy is quite an unusual book. This post is a short review of the book .
Why Machines Learn - Anil Ananthaswamy
Why Machines Learn explains the mathematical underpinnings of modern AI, from Rosenblatt's perceptrons (1958) to today's deep neural networks.
Book Review: Why Machines Learn: The Elegant Math Behind .
The book is essential because it provides a rich, narrative explanation of the fundamental mathematics that underpin the current AI revolution.
Why Machines Learn: The Elegant Math Behind Modern AI
A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligence
The Elegant Math Behind Machine Learning - YouTube
Anil Ananthaswamy is an award-winning science writer and former staff writer and deputy news editor for the London-based New Scientist .
Is this the best non-fiction overview of machine learning? - Reddit
The book does an absolutely beautiful job laying out the math in an intuitive way behind the forerunners of modern networks (eg perceptrons .
The Elegant Math Behind AI with Anil Ananthaswamy | SparX by .
Anil Ananthaswamy is a renowned science writer and journalist who has written extensively on various scientific topics. In his latest book .