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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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Video/text CS 188: Introduction to Artificial Intelligence (Spring 2015)

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, ...

Video/text CS 188: Introduction to Artificial Intelligence (Spring 2014)

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, ...

Video/text CS 188: Introduction to Artificial Intelligence (Fall 2013)

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, ...

Video/text CS 188: Artificial Intelligence (Spring 2012)

Instructor: Professor Pieter Abbeel. A* Search and Heuristics, Constraint Satisfaction Problems, Search for Games, Bayes Nets, Utility Theory, Markov Decision Processes, Reinforcement Learning, Probability, ...

Video/text CS 188: Artificial Intelligence (Fall 2011)

Instructor: Professor Dan Klein. This course introduces the basic ideas and techniques underlying the design of intelligent computer systems.