COS 711 Machine Learning (15 credits)

Main Content:

• An understanding of key concepts and theories in machine learning;
• Ability to develop and implement key machine learning algorithms including decision tree learning, Bayesian learning, back-propagation neural networks, and genetic algorithms

Main Outcomes:
At the successful completion of this course the student should have:

• Concept Learning,
• Decision Tree Learning,
• Artificial Neural Networks,
• Bayesian Learning,
• Instance-Based Learning,
• Evolutionary Computation,
• Computational Learning Theory