1
Lesson 1 of 20 · Learning from Examples
Machine learning fundamentals
ML is a subset of AI where models learn from data using optimization. The goal: minimize a loss function that measures prediction errors.
- ML optimizes models by minimizing loss.
- Loss functions quantify prediction errors.
Think about it
What is the bias-variance tradeoff?