1er. Escuela Red ProTIC - Tandil, 18-28 de Abril, 2006 Introduction to Machine Learning Alejandro Ceccatto Instituto de Física Rosario CONICET-UNR.
1er. Escuela Red ProTIC - Tandil, 18-28 de Abril, 2006 Principal component analysis (PCA) is a technique that is useful for the compression and classification.
1er. Escuela Red ProTIC - Tandil, 18-28 de Abril, 2006 5. Bayesian Learning 5.1 Introduction –Bayesian learning algorithms calculate explicit probabilities.
4. Instance-Based Learning
Introduction to Machine Learning
5. Bayesian Learning
6.Principal Component Analysis
1er. Escuela Red ProTIC - Tandil, 18-28 de Abril, 2006 3. Decision Tree Learning 3.1 Introduction –Method for approximation of discrete-valued target functions.
