Googlers and Academics Team Up on Machine Learning Book
September 5, 2012
Want to know how to build software that makes smart software capable of doing work once done by humans? A new book tells you how, we learn from Google Research‘s blog post, “Machine Learning Book for Students and Researchers.” The description reads:
“Our machine learning book, The Foundations of Machine Learning, is now published! The book, with authors from both Google Research and academia, covers a large variety of fundamental machine learning topics in depth, including the theoretical basis of many learning algorithms and key aspects of their applications. The material presented takes its origin in a machine learning graduate course, ‘Foundations of Machine Learning’, taught by Mehryar Mohri over the past seven years and has considerably benefited from comments and suggestions from students and colleagues at Google.”
The book is published by MIT Press, and Mehryar Mohri teaches his related course at New York University‘s Courant Institute of Mathematical Sciences. The book is designed to serve as both a textbook and a reference for researchers. It makes an effort to fully address topics the authors felt have been given short shrift, like regression, multi-class classification, and ranking.
At 70 dollars, this tome is not exactly free. However, if you are in the machine learning field, it may well be worth the investment.
Cynthia Murrell, September 05, 2012