MLOps
ML and AI is one of the most important topics in the past several years. MLOps is the practice of productionizing ML products that have been created from data science research. MLOps is very important not only for reusability but also for clear and accurate data science. In this chapter, we will go through the ins and outs of MLflow, a popular MLOps tool that manages every stage of your data science project and experiments. We will also cover AutoML, which is an automated way to get reasonable ML models and feature stores. These are data management systems that version data for historical purposes.
In this chapter, we’re going to cover the following main topics:
- The basics of machine learning
- MLFlow
- HyperOpt
- AutoML
- FeatureStore
