(See all my Book Reviews and Author Interviews) — Anil Ananthaswamy (http://anilananthaswamy.com) is the writer of greater than 5 books. Why Machines Be taught: The Elegant Math Behind Fashionable AI was just a few days in the past. It’s the fifty fifth guide I accomplished studying in 2024.
I acquired an ARC of this guide by https://www.netgalley.com with the expectation of a good and sincere overview. Opinions expressed listed here are unbiased and completely my very own! I categorize this guide as G.
The writer covers the historic evolution of Machine Studying (ML). He covers the conception of synthetic neurons and the way they’ve been used. He discusses Bayesian reasoning and the way necessary matrices are to ML. He proceeds to elucidate help vector machines. An excessive amount of time is spent on synthetic neural networks. How they work, and the way they’re educated. Backpropagation is defined, and examples are given. Ananthaswamy describes how neural networks will be utilized to picture recognition and delves into deep neural networks.
I loved the 11+ hours I spent studying this 476-page guide on expertise. I’ve learn many books on expertise, although that is the primary I’ve written a overview for. I picked this guide from NetGalley as a result of I’m concerned with AI. I taught a course on AI one semester once I was within the Laptop Sciences school of St. Edward’s University and wished to see how a lot had modified. Whereas the writer consists of appreciable math within the guide, it doesn’t get in the best way of understanding the fabric. After studying this guide I definitely now have a greater understanding of how the present plethora of Massive Language Mannequin programs work. I just like the chosen cowl artwork. I give this guide a score of 4 out of 5.
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