A proof-of-concept MLOps pipeline for TV show recommendations based on the flow of user ratings, using microservices, real-time event streaming, automated model training (LightFM), and scalable deployment with Kubernetes.
A proof-of-concept MLOps pipeline for TV show recommendations based on the flow of user ratings, using microservices, real-time event streaming, automated model training (LightFM), and scalable deployment with Kubernetes.