Skip to main content

Recommender Systems

Build powerful recommendation engines.

Course Duration: 8 hours​

What You'll Learn​

  • Recommendation approaches
  • Collaborative filtering
  • Content-based filtering
  • Hybrid systems
  • Deep learning recommenders
  • Production deployment

Prerequisites​

  • Python programming
  • ML basics

Course Modules​

  1. Introduction to Recommender Systems
  2. Collaborative Filtering
  3. Matrix Factorization (SVD, ALS)
  4. Content-Based Filtering
  5. Hybrid Approaches
  6. Deep Learning Recommenders
  7. Two-Tower Models
  8. Sequence-Based Recommendations
  9. Cold Start Problem
  10. A/B Testing Recommenders
  11. Evaluation Metrics
  12. Project: Movie Recommender

Libraries Covered​

  • Surprise
  • LightFM
  • TensorFlow Recommenders
  • PyTorch