Pattern Classification
E**.
Book in perfect condition and came quickly
Came quickly and is in new condition. Already enjoying learning from it.
M**O
Classical reference on Pattern Recognition
This is a great reference for those who want to become experts in Pattern Recognition methods and apply it in Big Data, Signal analysis, and so on. Much of the currently pop stars authors like Christopher M. Bishop, clearly, spent some time on this book first, before release their own issued on this subject.
M**Y
Very well written
I liked this book because it does a great job explaining the concepts and the reasoning behind the mathematical formulae. Other books such as "The Elements of Statistical Learning" toss the Math formulas at you and expect you to figure out the significance or the importance of 'em. The book does not shy away from Math - but does a great job presenting it.
A**R
Great quality!
The book seems to be bearly used at all. Great quality. Arrived on time as well. No complaints at all
D**L
Excellent condition
Excellent condition
G**M
not the exact copy you see
what i get was a copy that is supposed to be sold in india etc. but not in us. it was the same book content-wise, but the cover, colors etc. were from very cheap material..
W**N
summation
Seems a very good book. Could not tell what the little criticism was about. The author goes out of his way to explain and make it pertinet. Happy reading.
H**I
perfect condition
the book is in a very good condition andthe content of it was very carefully written and include fundamental topics
J**.
Magnifico libro, totalmente recomendable para personas que pretenden desarrollar un expertiz en algoritmos de clasificación
Es un excelente libro, todo su contenido es muy completo y entendible; la calidad del libro es muy buena en cuanto a contenido y diseños de impresión.
B**0
Not recommended as textbook, nor suitable for self study
This book is a good reference book but it should not be used for self study or even as a university textbooks. First, the author assumes the reader to be familiar with a lot of machine learning terminology. Which is odd because at times the author explains trivial stuff to mind numbing details. Second, the book is seriously short of solved examples which can help illustrate the author's points. Plots are produced without any explanation on how those were generated and many equations are stated without proof. Third, the end of chapter exercises do not have any answers mentioned. So basically you are on your own completely. There is no feedback on whether you have grasped the topic or solved the problem correctly.In short, use this book as a reference material once you have read something more sensible such as Bishop.