Statistical Learning Theory and Applications - Class 7
Offered By: MITCBMM via YouTube
Course Description
Overview
Explore key concepts in statistical learning theory and applications in this comprehensive lecture. Delve into topics such as least squares, gradient descent, regularization, induction, and early stopping. Gain insights into historical facts related to the field and engage in a name game to reinforce learning. Enhance your understanding of fundamental principles and practical applications in statistical learning through this in-depth class session.
Syllabus
Intro
Least Squares
Gradient Descent
Regularization
Induction
Early stopping
Historical fact
Name game
Taught by
MITCBMM
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