Skip to content
kwharrison13.comEssays, books and notes by Kyle Harrison

Why Machines Learn

From kwharrison13.com · Anti-library
Why Machines Learn
Full titleWhy Machines Learn: The Elegant Math Behind Modern AI
AuthorAnil Ananthaswamy
Published2024
Pages480
Recommended3 times
BuyAmazon
Why it’s on the listAnil 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. The industry answer for AI if you want the mechanism, not the narrative.

Where I heard about it

  • Spotted at Barnes & Noble at Fashion Place, Murray — November 2024 (Books photo album)

  • Spotted at Powell’s Books at PDX — April 2026 (Books photo album)

  • Replies to @WillManidis — named in the replies to his question “what is the single best book you can read that will explain an entire industry?”, June 2025. Full list: what is the single best book… (tweet).

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.
Curated by Kyle Harrison. Organized by Claude. Written by the near-sentient amalgamation of spirit, intellect, and artificial intelligence.