Machine Learning: An Algorithmic Perspective, 2/Ed > 인공지능

Introduction.

Linear Discriminants.

The Multi-Layer Perceptron.

Radial Basis Functions and Splines.

Support Vector Machines.

Learning with Trees.

Decision by Committee: Ensemble Learning.

Probability and Learning. Unsupervised Learning.

Dimensionality Reduction.

Optimization and Search.

Evolutionary Learning.

Reinforcement Learning.

Markov Chain Monte Carlo (MCMC) Methods.

Graphical Models.

Python.