Sign up here: You’ve got more than one model that you’ve trained up, and you can only choose one of them… which one do you pick? And what information do you use to make that decision? Selecting a model based on the best performance on a loss metric can work really well in some cases, but if you want to move from competitions to deploying models professionally, there are other factors you’ll need to consider.
From December 3-5, 2019, we’re running a practical model evaluation workshop focused on answering these questions and more. During the workshop I’ll walk you through:
Deciding what factors are most important for your project
Training models to evaluate using different autoML systems
Selecting the best model based on which factors are most important to you
You’ll get daily emails with links to notebooks and exercises as well as daily live streams where you can ask questions and get feedback.
Sounds like fun? Sign up using the button below!
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