MLOpsMLOps
エムエルオプス(エムエルオプス)
AdvancedTools & Platforms
The practice of deploying, monitoring, and maintaining machine learning models in production, combining ML with DevOps principles.
Why It Matters
Without MLOps, even great models fail in production — it bridges the gap between research and real-world deployment.
Example in Practice
Automatically retraining a fraud detection model when its accuracy drops below a threshold.