Course
Machine Learning
How machines learn patterns from data, the core discipline under all of AI.
L2 · IntermediateFoundationalKnown~4 h
What you’ll learn
- Distinguish the main learning paradigms and core task types
- Explain the bias-variance tradeoff, overfitting, and regularization
- Evaluate models correctly with proper splits and the right metrics
Prerequisites
ai-foundations
Module 1. Learning Paradigms
How machines learn and the core task types.
Module 2. Training & Evaluation
Overfitting, data splits, and metrics.