AutoML Discovery and Approach - ML 070
Adventures in Machine Learning
00:00
Blackbox, Whitebox, AutoML - What's the Difference?
The two big groups would be Blackbox, Whitebox. Some AutoML do a really good job in cleaning up your data and preparing it for pre-processing and data augmentation,. And then there's a model selection because initial tearing just tells you the feature importance. But most of the time, what they do, are model, they select a model. The main thing, the output is a model, the input is the data. And you can use that model to predict anything, but according to your business problem.
Transcript
Play full episode
