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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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
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0 min of video
Certificate of completion
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Course content
1 modules
• 30 lessons
• 0 min of video
Introduction to Advanced AI: Reasoning, Learning, and Search
30 lessons
• 24.3 hours
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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
