CS 188: Introduction to Artificial Intelligence
CS 188: Introduction to Artificial Intelligence (UC Berkeley). This course introduces the basic ideas and techniques underlying the design of intelligent computer systems.
A specific emphasis will be on the statistical and decision-theoretic modeling paradigm. Topics include heuristic search, problem solving, game playing, knowledge representation,
logical inference, planning, reasoning under uncertainty, expert systems, learning, perception, language understanding.
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CS 188: Introduction to Artificial Intelligence (Spring 2015) |
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Instructors: Professor Pieter Abbeel and Professor Dan Klein. Uninformed Search, Informed Search, Constraint Satisfaction Problems, Adversarial Search, Bayes Nets, Markov Decision Processes, Hidden Markov Models, Machine Learning, Natural Language Processing, ... |
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CS 188: Introduction to Artificial Intelligence (Spring 2014) |
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Instructor: Professor Pieter Abbeel. Uninformed Search, Informed Search, A* Search and Heuristics, Constraint Satisfaction Problems, Adversarial Search, Game Trees, Bayes Nets, Markov Decision Processes, Reinforcement Learning, Probability, ... |
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CS 188: Introduction to Artificial Intelligence (Fall 2013) |
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Instructors: Professor Pieter Abbeel and Professor Dan Klein. Markov Decision Processes, Reinforcement Learning, Probability, Hidden Markov Models, Speech Recognition, Machine Learning, Naive Bayes, Perceptrons, Decision Trees, Computer Vision, Robotics, ... |
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CS 188: Artificial Intelligence (Spring 2012) |
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Instructor: Professor Pieter Abbeel. A* Search and Heuristics, Constraint Satisfaction Problems, Search for Games, Bayes Nets, Utility Theory, Markov Decision Processes, Reinforcement Learning, Probability, ... |
