October 2017
Beginner to intermediate
270 pages
7h
English
Content preview from Machine Learning for Developers
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Median absolute error
The median absolute error is particularly interesting because it is robust to outliers. The loss is calculated by taking the median of all absolute differences between the target and the prediction. If ŷ is the predicted value of the ith sample and yi is the corresponding true value, then the median absolute error estimated over n samples is defined as follows:
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.