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.
Deze oefening maakt deel uit van de cursus
Fully Automated MLOps
Praktische interactieve oefening
Zet theorie om in actie met een van onze interactieve oefeningen.
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