MIT course 6.034 Artificial Intelligence

E459419

MIT course 6.034 Artificial Intelligence is a foundational undergraduate class at MIT that introduces core concepts and techniques in artificial intelligence, including search, knowledge representation, machine learning, and reasoning.

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MIT 6.034 Artificial Intelligence 1

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Predicate Object
instanceOf MIT undergraduate course
university course
audience MIT undergraduates
availableOn MIT OpenCourseWare NERFINISHED
category computer science course
courseNumber 6.034
courseTitle Artificial Intelligence NERFINISHED
coversTopic A* search NERFINISHED
Bayesian networks NERFINISHED
Markov decision processes NERFINISHED
alpha-beta pruning
clustering
constraint propagation
constraint satisfaction
decision trees
first-order logic
game playing
heuristic search
hidden Markov models
knowledge representation
learning theory
logical reasoning
machine learning
minimax
natural language processing basics
neural networks
perceptrons
planning
probabilistic inference
reasoning
reinforcement learning
search
search algorithms
supervised learning
support vector machines
unsupervised learning
department MIT Department of Electrical Engineering and Computer Science NERFINISHED
field artificial intelligence
goal introduce core concepts and techniques in artificial intelligence
hasComponent exams
lectures
problem sets
programming assignments
language English
level undergraduate
location Cambridge, Massachusetts
offeredBy Massachusetts Institute of Technology NERFINISHED
prerequisite discrete mathematics
introductory computer science
linear algebra

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Patrick Winston knownFor MIT course 6.034 Artificial Intelligence
subject surface form: Patrick Henry Winston
Patrick Winston taughtCourse MIT course 6.034 Artificial Intelligence
subject surface form: Patrick Henry Winston
this entity surface form: MIT 6.034 Artificial Intelligence