IT Skills Software Design and Development Intelligence Systems and Computation
A comprehensive textbook on the subject, this book covers a broad array of topics including supervised learning; Bayesian decision theory; parametric, semi-parametric, and nonparametric methods; multivariate analysis; hidden Markov models; reinforcement learning; kernel machines; graphical models; Bayesian estimation; and statistical testing.
