The Learning Process: Training, Validation, and TestingHow Models Learn: An Example with k-Nearest Neighbors (k-NN)Evaluating Model PerformanceOverfitting and Underfitting: Striking the Right Balance for Real-World PerformanceHuman-in-the-Loop: Blending AI Power with Human ExpertiseChapter Summary and Key Takeaways