Introduction to MLOps

MLOps, or Machine Learning Operations, is a set of practices and tools used to streamline and manage the lifecycle of machine learning models. MLOps aims to ensure that models are developed, deployed, and maintained efficiently, reliably, and at scale.

Advantages of MLOps:

• MLOps is a critical practice for organizations that rely on machine learning models. One of the key advantages of MLOps is continuous training of models. With MLOps, we can set up a process for continuous training, which is important as data changes over time, affecting the model…