- Series: Adaptive Computation and Machine Learning series
- Hardcover: 584 pages
- Publisher: The MIT Press; second edition edition (December 4, 2009)
- Language: English
- ISBN-10: 026201243X
- ISBN-13: 978-0262012430
- Product Dimensions: 8 x 0.9 x 9 inches
- Shipping Weight: 2.7 pounds
- Average Customer Review: 40 customer reviews
- Amazon Best Sellers Rank: #1,260,586 in Books (See Top 100 in Books)
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Introduction to Machine Learning (Adaptive Computation and Machine Learning series) second edition Edition
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"A few years ago, I used the first edition of this book as a reference book for a project I was working on. The clarity of the writing, as well as the excellent structure and scope, impressed me. I am more than pleased to find that this second edition continues to be highly informative and comprehensive, as well as easy to read and follow." Radu State Computing Reviews
About the Author
Ethem Alpaydin is a Professor in the Department of Computer Engineering at Bogaziçi University, Istanbul.
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The math is one of the more clear I’ve used.
He unpacks the major concepts of machine learning in a manner that makes it very easy to follow.
I probably have 3 copies of the earlier edition. I bought this one, and am very pleased with the updates - specifically related to neural networks and deep learning.
If you're running around in this domain - this book is crucial.