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Description
The intent of this course is to present a broad introduction to Machine
Learning, the study of computing systems that improve their performance
with experience, including discussions of each of the major approaches
(see the course
syllabus). The primary focus of the course will be on understanding
the underlying algorithms used in various learning systems. Class lectures
will discuss general issues as well as present abstract algorithms. Implemented
versions of many of the algorithms will be provided in order to give a
feel for how the systems discussed in class "really work" and allow for
experimentation.
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