Introduction to MLOps: The Machine Learning Lifecycle

In-Depth Description

Machine Learning Operations (MLOps) applies DevOps principles to the machine learning lifecycle to streamline development, deployment, and maintenance of ML models. This guide introduces the key stages of MLOps, including data gathering and preparation, model training and validation, continuous deployment, performance monitoring, and governance. Learn how MLOps helps organizations build robust, scalable, and reliable machine learning systems.