Pattern Classification

by David G. Stork, Richard O. Duda, Peter E. Hart

The first edition, published in 1973, has become a classic reference in the field. Now with the second edition, readers will find information on key new topics such as neural networks and statistical pattern recognition, the theory of machine learning, and the theory of invariances. Also included are worked examples, comparisons between different methods, extensive graphics, expanded exercises and computer project topics.

An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

Genres: Computer Science, Mathematics, Artificial Intelligence, Science, Textbooks, Programming, Nonfiction

688 pages, Hardcover

First published February 9, 1973

Reviews

[Dipan Mehta · Rating 5 out of 5]

This is a must have/ must read book for any person who want to make a career in AI, Machine Learning, BigData, Analytics or ComputerVision. It is so well written and makes your fundamental ideas very clear. It can be your first and the only book you need to read to get strong foundation.

[Tadas Talaikis · Rating 3 out of 5]

Someone, reduce size of books. We don't need more exponentially growing information, we need faster and better explanations. Usually it can be done in few pages for each concept.

[Нұралы]

Read chapters 1-6 as part of my Markov Chains and Decision Making course in uni

[Ali Frz · Rating 5 out of 5]

بهترین کتاب تو این فیلد

[Thaokm1986]

ok

[Mohamed · Rating 5 out of 5]

The best textbooks in Pattern classification

[Sailik · Rating 4 out of 5]

A very well written book. It is easy to follow/understand and introduces a lot of the research done in statistical machine learning and pattern recognition in the last few decades.

[Erfan · Rating 5 out of 5]

از بهترين كتاب هاي يادگيري ماشين كه برايه شروع عاليه، ديد خيلي خوبي ميده كه متوجه شيم پشت صحنه اين مفاهيم چه خبره اونم به زبان خيلي ساده

[Rui · Rating 5 out of 5]

Probably the best stats book that I’ve read. Better than ESL!

[Laura · Rating 2 out of 5]

Liked it a lot. Read it quickly.

[Ogi Ogas · Rating 5 out of 5]

My ratings of books on Goodreads are solely a crude ranking of their utility to me, and not an evaluation of literary merit, entertainment value, social importance, humor, insightfulness, scientific accuracy, creative vigor, suspensefulness of plot, depth of characters, vitality of theme, excitement of climax, satisfaction of ending, or any other combination of dimensions of value which we are expected to boil down through some fabulous alchemy into a single digit.

[Manishkhokhar · Rating 3 out of 5]

I haven't read till now

[Ayesha Talha · Rating 4 out of 5]

Complex...

[Andrew Chuang · Rating 5 out of 5]

On the shelf

[Bob · Rating 4 out of 5]

Used as textbook for Introduction to Pattern Recognition course, Whiting School of Engineering, APL Center, Johns Hopkins University, ca. 1985.

[Kid · Rating 4 out of 5]

Great introduction to pattern recognition/classification, but it is sometimes poorly-organized.

[Israel Pineda · Rating 4 out of 5]

This one is a good book about pattern classification, but have to say it is no easy book, unless you are very familiar with the topic.

[Aditi]

i havent read it yet but will read it soon

[Avinav Bharati]

Nice

[Tom · Rating 4 out of 5]

I have both the old, first edition and the second edition. The first edition was ahead of its time, and expensive but useful. The second was a tidy book surrounded by many with similar content.

[Nafiseh · Rating 4 out of 5]

I read only half of them during a course Mustererkennung.