(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 a couple of days in the past. It’s the fifty fifth e-book I accomplished studying in 2024.
I obtained an ARC of this e-book by https://www.netgalley.com with the expectation of a good and trustworthy evaluation. Opinions expressed listed below are unbiased and fully my very own! I categorize this e-book 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 vital matrices are to ML. He proceeds to clarify assist vector machines. Quite a lot of time is spent on synthetic neural networks. How they work, and the way they’re skilled. 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 e-book on expertise. I’ve learn many books on expertise, although that is the primary I’ve written a evaluation for. I picked this e-book from NetGalley as a result of I’m eager about AI. I taught a course on AI one semester once I was within the Pc Sciences college of St. Edward’s University and needed to see how a lot had modified. Whereas the writer contains appreciable math within the e-book, it doesn’t get in the way in which of understanding the fabric. After studying this e-book I actually now have a greater understanding of how the present plethora of Giant Language Mannequin programs work. I just like the chosen cowl artwork. I give this e-book a score of 4 out of 5.
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