From the course: MLOps Essentials: Model Development and Integration
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What is MLOps?
From the course: MLOps Essentials: Model Development and Integration
What is MLOps?
- [Instructor] Let's get now to the topic of this course, MLOps. What is MLOps? MLOps is a set of best practices that helps manage the creation and use of ML artifacts through efficient workflows, collaboration and tracking. MLOps is not a specific product or technique. It is a set of processes and best practices to build and run ML supported by automation and tools. What are the elements of MLOps? MLOps extends the DevOps methodology to building and serving machine learning solutions. It integrates the activities of data engineering and model development into the software engineering and deployment life cycle. In addition to the software engineering artifacts of code and records, it manages the machine learning artifacts, data and models. It enables continuous model development and integration, thus following an agile process to reduce time to market. MLOps deals with model deployment and serving.…
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