Probabilistic Artificial Intelligence
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Andreas Krause
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Autumn Semester
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Location: rack 12, shelf 1
This course introduces core modeling techniques and algorithms from machine learning, optimization and control for reasoning and decision making under uncertainty, and study applications in areas such as robotics.
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NOT AVAILABLE
![]() ![]() Artificial intelligenceA modern approach Stuart J. Russell and Peter Norvig ; contributing writers: Ming-Wei Chang [und 8 weitere]
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NOT AVAILABLE
![]() Pattern recognition and machine learningChristopher M. Bishop
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![]() READING ROOM ONLY
NOT AVAILABLE
![]() ![]() Artificial intelligenceA modern approach Stuart J. Russell and Peter Norvig ; contributing writers: John F. Canny ... [et al.]
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