Learn practical aspects of decision tree learning and gain initial insights into overfitting challenges in this 59-minute lecture from the University of Utah's Data Science program. Explore key considerations when implementing decision trees, understand their limitations, and discover how overfitting can impact model performance. Delve into essential concepts that bridge theoretical knowledge with real-world applications in machine learning, complementing the comprehensive materials available through the course website.
Decision Trees and Overfitting in Machine Learning - Lecture 5
Overview
Syllabus
Machine learning: Lecture 5a: Decision trees and overfitting (continued)
Taught by
UofU Data Science
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