Machine Learning

Syllabus

Introduction to Machine Learning, Learning using decision trees, Neural networks, Fuzzy sets and systems, Evolutionary algorithms, Hybrid intelligent methods, Inductive Logic Programming, Ensemble methods, Evaluating models and algorithms, Computational learning theory.