Understanding Overfitting in Machine Learning with Decision Trees - Lecture 5a

Learn about the critical concept of overfitting in machine learning through a 41-minute lecture that uses decision trees as a practical example to demonstrate how models can become too complex and fit noise in training data rather than actual patterns, impacting their ability to generalize to new data.