Music Recommender
Build end-to-end ML solutions for music recommendation with SageMaker.
Music Recommender System across the Entire ML-Lifecycle with Amazon SageMaker
- Architect and Build a Music Recommender System across the Entire ML-Lifecycle with Amazon SageMaker
- Music Recommender Part 1: Data Prep using Data Wrangler
- Music Recommender Part 2a: Feature Store Creation - Tracks
- Music Recommender Part 2b: Feature Store Creation - User Preferences
- Music Recommender Part 2c: Feature Store Creation - Ratings
- Music Recommender Part 3: Train Model with Debugger Hooks and Set Artifacts and Register Model
- Music Recommender Part 4: Deploy Model & Inference using Online Feature Store
- Music Recommender Part 5: Model Monitor
- Music Recommender Part 6: SageMaker Pipelines
- Music Recommender Part 7: Clean Up