10 min listen
Regularization
ratings:
Length:
17 minutes
Released:
Oct 3, 2016
Format:
Podcast episode
Description
Lots of data is usually seen as a good thing. And it is a good thing--except when it's not. In a lot of fields, a problem arises when you have many, many features, especially if there's a somewhat smaller number of cases to learn from; supervised machine learning algorithms break, or learn spurious or un-interpretable patterns. What to do? Regularization can be one of your best friends here--it's a method that penalizes overly complex models, which keeps the dimensionality of your model under control.
Released:
Oct 3, 2016
Format:
Podcast episode
Titles in the series (100)
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