Introduction to Advanced AI: Reasoning, Learning, and Search
Unlock AI Mastery: Dive Deep into Problem Solving, Advanced Search Techniques, and Machine Learning with MIT's Comprehensive Course!
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308 learners
What you'll learn
Understand the foundational concepts of goal-driven reasoning and expert systems
Apply various search algorithms such as A*, Minimax, and Alpha-Beta pruning to problem-solving
Analyze and implement constraint satisfaction techniques in visual object recognition
Explore machine learning methods including neural networks, genetic algorithms, and support vector machines
This course includes
24.3 hours of video
Certificate of completion
Access on mobile and TV
Course content
1 modules
• 30 lessons
• 24.3 hours of video
Introduction to Advanced AI: Reasoning, Learning, and Search
30 lessons
• 24.3 hours
▶
1. Introduction and Scope47:19
2. Reasoning: Goal Trees and Problem Solving45:58
3. Reasoning: Goal Trees and Rule-Based Expert Systems49:56
4. Search: Depth-First, Hill Climbing, Beam48:42
5. Search: Optimal, Branch and Bound, A*48:37
6. Search: Games, Minimax, and Alpha-Beta48:16
7. Constraints: Interpreting Line Drawings49:12
8. Constraints: Search, Domain Reduction45:06
9. Constraints: Visual Object Recognition51:32
10. Introduction to Learning, Nearest Neighbors49:55
11. Learning: Identification Trees, Disorder49:37
12a: Neural Nets50:43
12b: Deep Neural Nets49:05
13. Learning: Genetic Algorithms47:16
14. Learning: Sparse Spaces, Phonology47:49
15. Learning: Near Misses, Felicity Conditions46:54
