From the course: Natural Language Processing with ML.NET by Microsoft Press

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What is MLOps?

What is MLOps? - ML.NET Tutorial

From the course: Natural Language Processing with ML.NET by Microsoft Press

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What is MLOps?

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- DevOps is defined as the combinations of people, tools and practices guiding developers in creating robust and reproducible applications. The goal of using DevOps principles is to quickly deliver value to the end user. If you want to more easily deliver value by integrating machine learning models in data transformation pipelines or real time applications, you'll benefit from implementing DevOps principles. Creating, deploying and monitoring robust and reproducible models to deliver value to the end user is the goal of machine learning operations or MLOps. There are three processes that we want to combine whenever we talk about machine learning operations. The first one is ML, machine learning, includes all the machine learning workloads for which data scientist is responsible for. So this includes exploratory data analysis, feature engineering, model training and model fine tuning. The second is Dev. Dev refers the software development, which includes defined models requirements…

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