
Based on the “Machine Learning ” crash course from Google for Developers: https://developers.google.com/machine-learning/crash-course
In this episode, we’ll learn what overfitting is, how to detect it using loss curves, why model complexity matters, and how techniques like L2 regularization help improve generalization to unseen data.
Disclaimer: This podcast is generated using an AI avatar voice. At times, you may notice overlapping sentences or background noise. That said, all content is directly based on the official course material to ensure accuracy and alignment with the original learning experience.