Why Machines Learn by Anil Ananthaswamy

Why Machines Learn by Anil Ananthaswamy

Ananthaswamy traces the mathematical ideas underpinning modern machine learning, from early perceptrons and linear algebra through to the neural networks and large language models that dominate the field today, aiming to make the actual mathematics accessible rather than reducing it to metaphor.

He weaves in the history of the field's key figures and its false starts alongside the equations themselves, showing readers not just what deep learning does but the genuinely elegant reasoning that makes it work, at a level detailed enough to satisfy readers who want more than a surface explanation.

A rigorous, well-written account of the mathematics behind the current AI boom.

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