Workload

Learn how to build a scalable matrix factorization recommendation system on the MovieLens 100K dataset and migrate it from a local workflow to distributed, fault-tolerant training on an Anyscale cluster using Ray Train V2 and Ray Data. You’ll prepare the dataset (CSV/Parquet) and run end-to-end collaborative filtering training to predict user–item ratings.