Continue exploring boosting and ensemble methods in this comprehensive lecture from the University of Utah Data Science program. The one-hour session builds upon previous material, delving deeper into these powerful machine learning techniques that combine multiple models to improve predictive performance. For additional resources and supplementary materials, the lecture references a dedicated webpage with extensive information on boosting and ensemble methodologies.
Overview
Syllabus
Lecture 18a: Boosting and Ensembles (continued)
Taught by
UofU Data Science
