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Pattern Classification 2nd Edition with Computer Manual 2nd Edition Set

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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 graphic 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.


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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 graphic 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.

30 review for Pattern Classification 2nd Edition with Computer Manual 2nd Edition Set

  1. 5 out of 5

    Dipan Mehta

    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.

  2. 4 out of 5

    Tadas Talaikis

    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. 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.

  3. 5 out of 5

    Ali Frz

    بهترین کتاب تو این فیلد

  4. 4 out of 5

    Thaokm1986

    This review has been hidden because it contains spoilers. To view it, click here. ok

  5. 4 out of 5

    Mohamed

    The best textbooks in Pattern classification

  6. 5 out of 5

    Sailik

    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.

  7. 4 out of 5

    Erfan

    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

  8. 5 out of 5

    Laura

    Liked it a lot. Read it quickly.

  9. 5 out of 5

    Ogi Ogas

    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.

  10. 5 out of 5

    Ayesha Talha

    Complex...

  11. 5 out of 5

    Bill

    This graduate level textbook is the clearest exposition I've found of machine learning techniques. It's an excellent introduction and reference for anyone doing work in this area. This graduate level textbook is the clearest exposition I've found of machine learning techniques. It's an excellent introduction and reference for anyone doing work in this area.

  12. 5 out of 5

    Israel Pineda

    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.

  13. 4 out of 5

    Andrew Chuang

    On the shelf

  14. 5 out of 5

    Bob

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

  15. 4 out of 5

    Kid

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

  16. 5 out of 5

    Manishkhokhar

    I haven't read till now I haven't read till now

  17. 5 out of 5

    Katie Roberts

  18. 4 out of 5

    Peter Karume

  19. 5 out of 5

    Shashank Shekhar

  20. 4 out of 5

    Ahmed Abbas

  21. 5 out of 5

    Tristan Cossio

  22. 4 out of 5

    Krishnadas Das

  23. 5 out of 5

    Ursus Dei

  24. 4 out of 5

    Xiaoshu Cai

  25. 4 out of 5

    Brendan

  26. 5 out of 5

    Joseph Kekana

  27. 4 out of 5

    박은정 Park

  28. 5 out of 5

    Andre Rovani

  29. 4 out of 5

    Rob Jones

  30. 5 out of 5

    Sean Clarke

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