TY  - BOOK
AU  - Alpaydin,Ethem
TI  - Introduction to machine learning 
SN  - 0262012111
AV  - Q325.5 .A473 2004
U1  - 006.31/ A456i 22
PY  - 2004///. [reprinted 2006]
CY  - New Delhi
PB  - Prentice-Hall of India
KW  - Machine learning
N1  - Includes bibliographical references and index; 1; Introduction --; 2; Supervised learning --; 3; Bayesian decision theory --; 4; Parametric methods --; 5; Multivariate methods --; 6; Dimensionality reduction --; 7; Clustering --; 8; Nonparametric methods --; 9; Decision trees --; 10; Linear discrimination --; 11; Multilayer perceptrons --; 12; Local models --; 13; Hidden Markov models --; 14; Assessing and comparing classification algorithms --; 15; Combining multiple learners --; 16; Reinforcement learning --; A; Probability; CSE, CIS, CS
N2  - "This book can be used by advanced undergraduates and graduate students who have completed courses in computer programming, probability, calculus, and linear algebra. It will also be of interest to engineers in the field who are concerned with the application of machine learning methods."--BOOK JACKET
ER  -