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11. Learning: Identification Trees, Disorder
8. Constraints: Search, Domain Reduction
7. Constraints: Interpreting Line Drawings
12b: Deep Neural Nets
9. Constraints: Visual Object Recognition
5. Search: Optimal, Branch and Bound, A*
10. Introduction to Learning, Nearest Neighbors
17. Learning: Boosting
3. Reasoning: Goal Trees and Rule-Based Expert Systems
4. Search: Depth-First, Hill Climbing, Beam
11. Introduction to Machine Learning
How I’m Learning AI and Machine Learning
12a: Neural Nets
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