Machine Learning Operations

Machine learning Operations (MLOps) refer to the set of practices, processes, and technologies that streamline the development, deployment, monitoring, and management of machine learning models throughout their lifecycle.

MLOps aims to ensure efficient collaboration between data scientists, engineers, and other stakeholders, enabling the seamless integration of machine learning into production systems.

It encompasses version control, testing, automation, scalability, and monitoring to ensure machine learning models' reliability, performance, and continuous improvement in real-world applications.