Explore a comprehensive lecture on linear regression that delves into the least mean square method, introducing fundamental concepts of machine learning including loss function minimization and both gradient and stochastic gradient descent approaches. Learn through detailed explanations during this 80-minute session that serves as a crucial building block for understanding predictive modeling techniques.
Linear Regression and Least Mean Square Method - Lecture 11
Overview
Syllabus
Machine Learning: Lecture 11: Linear Regression
Taught by
UofU Data Science
