Based on the “Machine Learning ” crash course from Google for Developers: https://developers.google.com/machine-learning/crash-course
In this episode, we break down logistic regression—a core algorithm used for classification. You'll learn how it calculates probabilities instead of direct values, what loss functions are used to measure mistakes, and how regularization helps prevent overfitting. It’s all about teaching machines to say “yes” or “no” with confidence.
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.