Machine Learning

Learning Outcomes:

On successful completion of this course, students will be able to: Explain the concept of machine learning; Apply skill of knowledge data discovery to be used in different variety of research field; Make computers to learn complex patterns; Have computers to analyze real-world data to produce decisions or answers.

Topics:

1. Introduction to Machine Learning
2. Concept Learning and the General-to-Specific Ordering
3. Decision Tree Learning
4. Artificial Neural Networks
5. Evaluating Hypotheses
6. Bayesian Learning
7. Computational Learning Theory
8. Instance-Based Learning
9. Genetic Algorithms
10. Learning Sets of Rules
11. Analytical Learning
12. Combining Inductive and Analytical Learning
13. Reinforcement Learning