Overfitting In Machine Learning

Do you get what overfitting means in machine learning?  If you don’t, then you better learn about it if you want to use or leverage machine learning.  Why?  Because overfitting can ruin the effectiveness of machine learning.  I wrote this blog because I found existing explanations of overfitting to be too technical.  I hope this one is more consumable by non specialists.  Machine learning involves a fairly complex workflow, see Machine Learning Algorithm != Learning Machine  for a detailed discussion.  Overfitting can occur in one specific part of the workflow, which is the part where machine learning algorithms are used to create models.  This part can be summarized with the picture below. It starts with a set of labelled examples (yes this is supervised learning, see What Is Machine Learning? for…


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