From the course: AWS Certified Machine Learning Engineer Associate (MLA-C01) Cert Prep

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Hyperparameter tuning (automatic model tuning)

Hyperparameter tuning (automatic model tuning)

- [Instructor] Hello guys, and welcome again. So in today's lesson, we are going to talk about the hyperparameter tuning. And the hyperparameter tuning is squeezing your accuracy of your model. So you just want those few extra percentage increase in the accuracy or the precision order recall. So if you do so, if you want so, you need to perform the hyperparameter tuning. So hyperparameter tuning is also known as automatic model tuning. It kind of finds the best version of your model by running many training jobs using the hyperparameter ranges that you specify. So you would want to use a hyperparameter tuning job if you want to get these extra scores in a specific metric, let's say the accuracy, the MSE, the precision, the recall, and any of these metrics. So the hyperparameter tuning search for the best combination of metrics from the ranges that you specify in order to output the best score, which is the specific metric that you specify. And before you start hyperparameter tuning…

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