Seçmeli Ders

Ders Adı Makine Öğreniminin Temelleri ve Uygulamaları 522

Semester Güz

Ders Tipi Zorunlu

Teori 3

Kredi 3

ECTS 10

Dersin Açıklaması

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.