Differences

This shows you the differences between two versions of the page.

--- textbook [2012/08/30 18:56] – hj
+++ textbook [2016/08/29 19:28] (current) – hj
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 There is no required textbook for this course.
-Four optional reference books:
+Three optional reference books:
+  * C. M. Bishop, Pattern Recognition and Machine Learning, Springer, ISBN 0-387-31073-8.
+  * R. O. Duda, P. Hart and D. Stork, Pattern Classification (2nd Edition), John Wiley & Sons, Inc., ISBN 0-471-05669-3.
+  * K. P. Murphy, Machine Learning: A Probabilistic Perspectives, The MIT Press, ISBN 978-0-262-01802-9.
-C. M. Bishop, Pattern Recognition and Machine Learning, Springer, ISBN 0-387-31073-8.
-X.D. Huang, A. Acero, H.W. Hon, Spoken Language Processing: a guide to theory, algorithm, and system development, Prentice Hall PTR, ISBN 0-13-022616-5.
-R. O. Duda, P. Hart and D. Stork, Pattern Classification (2nd Edition), John Wiley & Sons, Inc., ISBN 0-471-05669-3.
-C. D. Manning and H. Schutze, Foundations of Statistical Natural Language Processing, The MIT Press, ISBN 0-262-13360-1.