Module 04
AI & Machine Learning Basics
Understand AI Without the Hype
Conceptual introduction to AI and ML with small CPU-only Python examples using scikit-learn. No GPU or cloud APIs.
0 of 12 weeks complete0%
Learning Objectives
- Explain what AI and ML are in plain language
- Run a small classification example with scikit-learn
- Understand training data, models, and accuracy
- Critically evaluate AI tools and claims
- Understand basic AI ethics
Glossary
- AI
- Software that performs tasks needing human-like pattern recognition.
- Machine Learning
- Programs that learn patterns from examples instead of fixed rules.
- Model
- The learned pattern-recognizer produced by training.
- Training Data
- Examples used to teach a model.
- Bias
- Unfair patterns in data that produce unfair results.