Elective List

Course Name Foundation of Machine Learning and Its Applications 522

Semester Güz

Course Type Compulsory

Theory 3

Credit 3

ECTS 10

Course Description

Introduction to Machine Learning, Decision Trees, Instance Based Learning, Bayesian Learning, Logistic Regression, Neural Networks, Support Vector Machines, Model Selection, Feature Selection, Clustering, k-means, Expectation Maximization, Mixture of Gaussians, Ensemble Learning, Deep Learning, Adversarial Learning, Reinforcement Learning.