Understand K-Nearest Neighbors (KNN), a lazy learning algorithm that predicts by finding the closest training data points. Explore how it works, its classification and regression modes, key hyperparameters, overfitting/underfitting issues, and optimized search structures like KD-Tree and Ball Tree for efficient computation.