MLOps (EN)

Concept

Combination of Machine Learning and Operations for the lifecycle of ML models

MLOps Architecture

flowchart TD     A[Data Acquisition] --> B[Data Processing]     B --> C[Model Training]     C --> D[Model Validation]     D --> E[Model Deployment]     E --> F[Monitoring & Maintenance]     F --> C     G[CI/CD Pipeline] --> E     H[Model Registry] --> E     I[Feature Store] --> B     I --> C

In Context

Typically used together with DevOps, Data Engineering and AutoML
Related to: CI/CD for ML, Feature Engineering, Model Governance
Example use case: Scalable deployment of recommendation systems in e-commerce

Quelle: AI Generated