MLOps Tools and Techniques
MLOps, which stands for Machine Learning Operations, is an important part of any modern data-driven organization. It encompasses the processes, tools, and techniques that enable machine learning models to be developed, tested, and deployed in a reliable, scalable, and automated way. In this article, we will explore some of the most popular mlops course tools and techniques currently available in the industry. 1.Version Control One of the fundamental tools for MLOps is version control, which is a software tool that helps manage changes to source code over time. Version control systems like Git , SVN, and Mercurial are widely used in software development, but they are equally applicable to machine learning projects. Version control is essential for managing the many versions of models and datasets that are created during the development process, as well as for tracking changes to code and configuration files. 2. Containerization Another key MLOps technique is c...