Textbook in PDF format

The ease with which we recognize a face, understand spoken words, read handwritten characters, identify our car keys in our pocket by feel, and decide whether an apple is ripe by its smell belies the astoundingly complex processes that underlie these acts of pattern recognition. Pattern recognition — the act of taking in raw data and taking an action based on the "category" of the pattern — has been crucial for our survival, and over the past tens of millions of years we have evolved highly sophisticated neural and cognitive systems for such tasks.
Contents:
Intriduction.
Bayesian Decision Theory.
Maximum-likelihood and Bayesian Parameter Estimation.
Nonparametric Techniques.
Linear Discriminant Functions.
Multilayer Neural Networks.
Stochastic Methods.
Nonmetric Methods.
Algorithm-independent Machine Learning.
Unsupervised Learning and Clustering.
Appendix. Mathematical Foundations