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Introduction to Basic Concepts in Machine Learning


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The basic concepts of machine learning are introduced with a focus on intuition and examples. The simpler and widely used logistic regression model is introduced first, and from this, multilayered neural network are introduced as a generalization. Concepts of parameter learning (optimization), generalization (and overfitting), validation and performance evaluation are also introduced.

On the day before the session, all registrants will receive an e-mail with a link and meeting information.


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Status Archived
Date Monday, February 8th, 2021
Time 12:00pm - 1:00pm
Location Virtual Classroom
Leader David Carlson
Enrolled 115