12
Recommender Systems
Collaborative filtering, content-based, and deep learning recommendations
4 lessons180 min totaladvanced
1
Collaborative Filtering
User-based and item-based CF, similarity metrics, matrix factorization, and handling cold start
2 exercisesQuiz45m
2
Content-Based Recommendations
Feature engineering for items, TF-IDF profiles, hybrid systems, and knowledge-based approaches
2 exercisesQuiz40m
3
Deep Learning Recommenders
Neural CF, two-tower models, deep factorization machines, and sequential recommendations
2 exercisesQuiz50m
4
Production Recommender Systems
System architecture, A/B testing, online learning, bandits, and evaluation metrics
2 exercisesQuiz45m