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.
Before the session, all registrants will receive an e-mail with a link and meeting information.
|Date||Tuesday, September 8th, 2020|
|Time||4:30pm - 6:00pm|