- Explains content-based and collaborative filtering.
- Covers low-rank matrix factorization methods.
- Hands-on project: building a movie recommender system.
- Teaches evaluation metrics for recommendation quality.
- Prepares learners for practical applications in retail, streaming, and e-commerce.
