Revisit the concept of loss minimization with a detailed examination of perceptron, hinge, and logistic losses in this 28-minute lecture from UofU Data Science. Gain deeper insights into these fundamental machine learning concepts that form the basis of classification algorithms. For additional resources and comprehensive explanations, explore the supplementary materials available on the instructor's website.
Overview
Syllabus
Lecture 24a: Loss minimization (revisited)
Taught by
UofU Data Science