Statistical Learning Theory and Applications - Class 6

Offered By: MITCBMM via YouTube

Course Description

Overview

Explore the fundamental concepts of statistical learning theory and applications in this comprehensive lecture from MIT's course on the subject. Delve into topics such as initial guesses, Newton's method, recursive computation, residuals, rank 1 updates, and online methods. Gain a deeper understanding of these essential techniques and their practical applications in statistical learning and data analysis.

Syllabus

Intro
Initial guess
Newton method
Recursive computation
Newtons method
Residuals
Rank 1 Update
Online Method

Taught by

MITCBMM

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