CS 550 Machine Learning

Introduction to basic machine learning concepts and algorithms. Bayesian decision theory. Decision trees. Artificial neural networks. Evaluation of classification algorithms. Unsupervised learning and clustering. Reinforcement learning. Genetic algorithms. Recent topics in machine learning. Ensemble learning. Cost-sensitive learning. Active learning. Deep learning. Credit units: 3 ECTS Credit units: 5.

Autumn Semester (Çiğdem Gündüz Demir)

Spring Semester (Çiğdem Gündüz Demir)

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