1. Why Machines Learn: The Elegant Math Behind Modern AI.
- Subjects
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MACHINE learning , *MATHEMATICS , *ARTIFICIAL intelligence , *MATHEMATICAL proofs , *PRINCIPAL components analysis - Abstract
Anil Ananthaswamy's book, "Why Machines Learn: The Elegant Math Behind Modern AI," attempts to explain how artificial intelligence (AI) works by scanning data for patterns and making predictions. However, the book's detailed breakdown of probability, principal component analysis, and eigenvectors may be difficult for readers without an advanced math degree to understand. While there are some interesting examples, such as how statisticians determined the authorship of the Federalist Papers, the book is primarily filled with complex equations and proofs. General readers may find it challenging to follow. [Extracted from the article]
- Published
- 2024