Automating hyperparameter tuning
You have learned about the importance of tuning all available hyperparameters in an ML application to ensure optimal model performance. You are familiar with the large space of possibilities available to you when it comes to hyperparameters and their combinations. As you have learned, it is important to automate the process of hyperparameter tuning in an MLOps system.
In this exercise, you will carefully read the descriptions presented to you. They will describe steps necessary in the specification of automated hyperparameter tuning routines.
This exercise is part of the course
Fully Automated MLOps
Hands-on interactive exercise
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