Machine Learning (Mcgraw-Hill International Edit)
by Tom M. (Tom Michael) Mitchell
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Book Summary Information
Author: Tom M. (Tom Michael) MitchellEdition: Paperback
Audio: English (Unknown); English (Original Language); English (Published)
Published: 1997-10
ISBN: 0071154671
Number of pages: 414
Publisher: McGraw-Hill
Book Reviews of Machine Learning (Mcgraw-Hill International Edit)
Book Review: Great Start to Machine Learning
Summary: 5 Stars
I have used this book during my masters and found it to be an extremely helpful and a gentle introduction to the thick and things of machine learning applications. The various chapters are nicely paced with helpful problems at the end. Another great thing about the book is treatment of detailed examples with each concept and that the author carefully ties various concepts as they arise, with not just new, but also examples from previous chapters, which helps the user to understand different concepts applied to same problems thereby making clear difference between different methods. Also the author has a dedicated website with updated errata and notes, which is also very helpful! Having said that, I think the book is an introduction to various machine learning methods and one can easily follow on the references listed for detailed treatment of relevant topics.
Summary of Machine Learning (Mcgraw-Hill International Edit)
This book covers the field of machine learning, which is the study of algorithms that allow computer programs to automatically improve through experience. The book is intended to support upper level undergraduate and introductory level graduate courses in machine learning.Machine Learning Books
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