#5141
Mentioned in 5 episodes

Why Machines Learn

The Elegant Math Behind Modern AI
Book • 2024
In this book, Anil Ananthaswamy provides a rich, narrative explanation of the mathematics that has driven the development of machine learning and artificial intelligence.

The book delves into the historical and mathematical foundations of AI, including linear algebra and calculus, and explores how these concepts have led to significant advancements in fields such as chemistry, biology, physics, and more.

Ananthaswamy also discusses the potential of AI to transform everyday activities and highlights the importance of understanding both the capabilities and limitations of AI. The book is praised for making complex mathematical concepts accessible and engaging for a broad audience.

Mentioned by

Mentioned in 5 episodes

Mentioned by
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Cal Newport
as a book about the mathematics behind machine learning, which he read during his recovery.
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Cliff Asness
as a great explanation of the very basic math behind AI.
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Tim Scarfe
as the author of the book being discussed in the podcast.
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as a fascinating read on the evolution of AI through mathematics.
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Steve Lucas
as a book he is currently reading.
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Alok Jha
as a soon-to-be-published book explaining machine learning from a mathematical perspective.
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Mukesh Bansal
as a somewhat technical but accessible book on how AI works.
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