Overview
Explore a comprehensive lecture on the least mean square method for linear regression, delving into fundamental concepts of machine learning including loss function minimization and both gradient and stochastic gradient descent approaches. Learn through detailed explanations and examples during this 80-minute deep dive into regression techniques that serve as essential building blocks for advanced machine learning applications.
Syllabus
Machine Learining: Lecture 11: Least Mean Square Regression
Taught by
UofU Data Science