Why Machines Learn
- Author
- Anil Ananthaswamy
- Published
- 2024
- Pages
- 480
- Recommended
- Once
Why it’s on the list: Ananthaswamy works through the mathematics under modern machine learning — the perceptron, gradient descent, backpropagation, the kernel trick — at the level of actually following the derivations rather than gesturing at them. The industry answer for AI if you want the mechanism, not the narrative.
Where I saw it: In the reply thread to @WillManidis’s question, “what is the single best book you can read that will explain an entire industry?” (June 2, 2025) — a crowd-sourced list Kyle recovered by hand and saved to his Apple Note “Books To Read”; the full set of replies lives on what is the single best book… (tweet). It was listed there as “Why Machines Learn”.
Connections
- Machine Learning — the subject, taken mathematically.
- Artificial Intelligence — what the math is being used to build.
- Genius Makers — the people-and-companies history of the same field, named in a different thread Kyle saved.
- what is the single best book… (tweet) — the thread this recommendation came from.
Referenced in
- Genius Makers note