What is MLOps - Complete Guide for Beginners
As machine learning (ML) continues to transform industries, the demand for deploying ML models that are efficient, scalable, and reliably dependable has skyrocketed, leading to the unprecedented rise of MLOps , or Machine Learning Operations. MLOps (machine learning operations) is a collection of practices and tools that are intended to make integrating machine learning systems into the broader DevOps and software engineering process. MLOps connects the work of data science (i.e., model building) to IT operations, enabling the efficient development, deployment, monitoring, and maintenance of models. What is MLOps? MLOps, modeled after DevOps, focuses on automation and management of the machine learning (ML) lifecycle. MLOps operationalizes ML systems, creates standardized processes, improves collaboration between data scientists and operations teams, and ensures ML systems are scalable, maintainable, and reproducible. MLOps must also take into account that methods and practices f...