Tag: small-data

I really recommend reading this (longish) post by Tom Breur called “Data Dredging” (and following his blog. The post is dedicated to overfitting – the most scaring problem in machine learning. Overfitting is easy to do and is hard to avoid. It is a serious problem when working with “small data” but is also a problem in the big data era. Read “Data Dredging” for an overview of the problem and its possible cures.