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Operationalizing and Optimizing Amazon Redshift ML Models
Now that you have learned how to create many different types of ML models, we will show you how you can operationalize your model training pipelines. Once you have moved your model to production, you want to refresh the model regularly and automate the process to do this. Additionally, it is important to periodically evaluate your models to maintain and improve their accuracy.
In this chapter, we will go through the following main topics:
- Operationalizing your ML models
- Optimizing the Redshift model for accuracy
Technical requirements
This chapter requires a web browser and access to the following:
- An AWS account
- An Amazon Redshift Serverless endpoint
- Amazon Redshift Query Editor ...
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