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Created by:
Last updated:
December 1, 2022
Duration:
Unlimited Duration
FREE
This course includes:
Unlimited Duration
Badge on Completion
Certificate of completion
Unlimited Duration
Description
This course introduces students to the basic knowledge representation, problem solving, and learning methods of artificial intelligence.
Upon completion of 6.034, students should be able to develop intelligent systems by assembling solutions to concrete computational problems; understand the role of knowledge representation, problem solving, and learning in intelligent-system engineering; and appreciate the role of problem solving, vision, and language in understanding human intelligence from a computational perspective
Course Curriculum
- Introduction and Scope Unlimited
- Reasoning: Goal Trees and Problem Solving Unlimited
- Reasoning: Goal Trees and Rule-Based Expert Systems Unlimited
- Search: Depth-First, Hill Climbing, Beam Unlimited
- Search: Optimal, Branch and Bound, A* Unlimited
- Search: Games, Minimax, and Alpha-Beta Unlimited
- Constraints: Interpreting Line Drawings Unlimited
- Constraints: Search, Domain Reduction Unlimited
- Constraints: Visual Object Recognition Unlimited
- Introduction to Learning, Nearest Neighbors Unlimited
- Learning: Identification Trees, Disorder Unlimited
- Neural Nets Unlimited
- Deep Neural Nets Unlimited
- Learning: Genetic Algorithms Unlimited
- Learning: Sparse Spaces, Phonology Unlimited
- Learning: Near Misses, Felicity Conditions Unlimited
- Learning: Support Vector Machines Unlimited
- Learning: Boosting Unlimited
- Representations: Classes, Trajectories, Transitions Unlimited
- Architectures: GPS, SOAR, Subsumption, Society of Mind Unlimited
- Probabilistic Inference I Unlimited
- Probabilistic Inference II Unlimited
- Model Merging, Cross-Modal Coupling, Course Summary Unlimited
About the instructor
5
5
Instructor Rating
1
Reviews
1520
Courses
1916
Students
Massachusetts Institute of Technology
