Machine Learning Operations (MLOps) is a set of practices that aims to deploy and maintain machine learning models in production reliably and efficiently. It combines Machine Learning (ML) with DevOps to automate and streamline the end-to-end machine learning lifecycle, including:
- Data preparation and management
- Model training and tuning
- Model deployment
- Monitoring and maintenance
MLOps helps in bridging the gap between data science and IT operations, ensuring that machine learning models can be scaled and managed effectively in a production environment.