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Statistical Learning Theory and Applications - Class 7

Offered By: MITCBMM via YouTube

Tags

Statistical Learning Theory Courses Gradient Descent Courses Least Squares Courses Regularization Courses Induction Courses Early Stopping Courses

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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