Customer Reviews:
Showing reviews 6-10 of 48
 one of the best books in the field October 3, 2009
Byung Gyu Ahn
0 out of 1 found this review helpful
this book is one of the best books in the field--machine learning. this is the textbook that is used in most of the renowned university, and it qualifies for it! the contents are abundant, and full explanation and exercises will lead you into the field.
Good seller. June 30, 2009
Khoa Pham (New York City, NY USA)
0 out of 9 found this review helpful
Condition matched with the description. Responded quickly to an email regarding the shipping dates. Would have liked different options for shipping but would definitely buy again.
Nice item, fast shipping March 19, 2009
J. DUANN (San Diego, CA United States)
0 out of 10 found this review helpful
The condition of the item is as descriped on the website. Ths shipping was also very fast. Highly recommended.
Faster than expected, and excellent product quality. January 15, 2009
B. Schwerin (Brisbane, Australia)
0 out of 9 found this review helpful
I was thrilled with both the speed with which my book was delivered (inspite of being overseas), and the excellent condition of the received book. I thoroughly recomment this seller.
 Little emphasis on concepts September 13, 2008
Pedro A. Ortega (Cambridge, UK)
9 out of 11 found this review helpful
After reading "Pattern Recognition using Neural Networks" written by the same author, I was expecting a book of the same league: strong emphasis on the conceptual foundations, and a distillation of the great ideas of a field that is enjoying a great deal of research.
However, I was greatly disappointed. While it is certainly not an easy task, the author makes no attempt to extract a unifying conceptual framework that underlies the vastly disperse approaches in the scientific literature. There are no powerful "take-home messages" other than "Bayes' Rule". Instead, it is written as a reference book, where task-specific algorithms are presented in an almost isolated form---and thus this text ends up baring certain similarity to a cookbook.
Conclusion: This books succeeds as a reference book (fairly complete, biased towards Bayesian methods), but it is not a book about the foundations of Machine Learning.
Showing reviews 6-10 of 48
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