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3172000 - Foundations of Intelligent Systems

Foundations of Intelligent Systems 2013

Professor Akihiro Yamamoto
Associate Professor Marco Cuturi

Course Description

This course examines the foundations of Machine Learning. The first part explains Computational Learning Theory, which is for learning from discrete data, such as formal languages, and formulae of first-order logic.
The second part explains Statistical Learning Theory, which is for learning from numerical and continuous data. Both parts consist of fundamental theories and methods of their applications.