◐ learning · kind concept · level 2 · 24h
- Requiere: Model Deployment · CD
Bringing software discipline to ML: versioning data and models, reproducible pipelines, CI/CD, monitoring for drift. The gap between a notebook and a system.
MLOps or ML Ops is a paradigm that aims to deploy and maintain machine learning models in production reliably and efficiently. It bridges the gap between machine learning development and production operations, ensuring that models are robust, scalable, and aligned with business goals.
Enlaces
- Requiere: Model Deployment · CD