Instructor: Patrick Winston
In these lectures, Prof. Patrick Winston introduces the 6.034 material from a conceptual, big-picture perspective. Topics include reasoning, search, constraints, learning, representations, architectures, and probabilistic inference.

License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu

View the complete course: http://ocw.mit.edu/6-034F10

MIT OpenCourseWare

Toggle Lights

• 1. Introduction and Scope
• 2. Reasoning: Goal Trees and Problem Solving
• 3. Reasoning: Goal Trees and Rule-Based Expert Systems
• 4. Search: Depth-First, Hill Climbing, Beam
• 5. Search: Optimal, Branch and Bound, A*
• 6. Search: Games, Minimax, and Alpha-Beta
• 7. Constraints: Interpreting Line Drawings
• 8. Constraints: Search, Domain Reduction
• 9. Constraints: Visual Object Recognition
• 10. Introduction to Learning, Nearest Neighbors
• 11. Learning: Identification Trees, Disorder
• 12a: Neural Nets

View the complete course: http://ocw.mit.edu/6-034F10 or click on Source

Source