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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

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Instructor Rating

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Courses

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Massachusetts Institute of Technology