Machine Learning

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Machine Learning

• Course Outline

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Course Topics

• Introduction Ch. 1
• Concept Learning
• Basics Ch. 2
• Version Spaces Ch. 2
• Decision Trees Ch. 3
• Neural Networks Ch. 4
• Evaluating Hypotheses Ch. 5
• Concept Learning (cont)
• Instance-Based Learning Ch. 8
• Genetic Algorithms Ch. 9
• Rule Learning Ch. 10

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Course Topics (cont)

• Unsupervised Learning
• Clustering (supplemental reading)
• Analytical Learning
• Explanation-Based Learning Ch. 11
• Hybrid Methods Ch. 12
• Reinforcement Learning Ch. 13
• Learning Theory Ch. 6 and Ch. 7
• Ensembles (supplemental reading)
• Support Vector Machines (supplemental reading)