Pattern Recognition and Machine Learning (Information Science and Statistics) (Information Science and Statistics) (Information Science and Statistics) | 
 enlarge | Author: Christopher M. Bishop
Publisher: Springer-Verlag New York Inc.
Category: Book
List Price: £49.99
Buy New: £39.92
You Save: £10.07 (20%)
New (27) Used (9) from £39.92
Rating:  4 reviews
Sales Rank: 43720
Media: Hardcover
Edition: New Ed
Number Of Items: 1
Pages: 738
Shipping Weight (lbs): 4
Dimensions (in): 9.4 x 7.6 x 1.8
ISBN: 0387310738
Dewey Decimal Number: 006.4
EAN: 9780387310732
ASIN: 0387310738
Publication Date: February 1, 2008
Availability: Usually dispatched within 1-2 business days
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| Customer Reviews:
 good reference reference book but... July 11, 2007
0 out of 3 found this review helpful
..don't like the writing style. Fewer equations and more explanations would have made it a better book.
Great insights, but a hard read June 14, 2007
7 out of 9 found this review helpful
This new book by Chris Bishop covers most areas of pattern recognition quite exhaustively. The author is an expert, this is evidenced by the excellent insights he gives into the complex math behind the machine learning algorithms. I have worked for quite some time with neural networks and have had coursework in linear algebra, probability and regression analysis, and hence found some of the stuff in the book quite illuminating.
But that said, I must point out that the book is very math heavy. Inspite of my considerable background in the area of neural networks, I still was struggling with the equations. This is certainly not the book that can teach one things from the ground up, and thats why I would give it only 3 stars. I am new to kernels, and I am finding the relevant chapters quite confusing. For those who want to build powerful machine learning solutions to their problems, I am sorry but they will have to look elsewhere. This book cant help you build an application, another serious drawback in my opinion. The intended audience for this book I guess are PhD students/researchers who are working with the math related aspects of machine learning, and not undergraduates or working professionals who want to write machine learning code for their applications/projects.
 Best book of its kind I have found March 24, 2007
4 out of 4 found this review helpful
Bishop does an excellent job of helping the reader visualize what is going on in the problems and techniques he describes, emphasizing an intuitive grasp of the issues without sacrificing mathematical rigour. The writing is clear and the production is excellent. Strongly recommended both for anyone serious about getting into machine learning and for those already working in it.
Excellent book January 29, 2007
7 out of 7 found this review helpful
As a newbie to pattern recognition I found this book very helpful. It is the clearest book I ever read! Accompanying examples and material are very illuminating. I particularly appreciated the gradual introduction of key concepts, often accompanied with practical examples and stimulating exercises.
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