Perfectly Awesome

How changes in the distribution arise, and the impact of verification delay.

Why is it hard and what to do about it?

Data can change over time. This can result in poor and degrading predictive performance in predictive models that assume a static relationship between input and output variables. This problem of the changing underlying relationships in the data is called concept drift in the field of machine learning. In this post, you will discover the problem of concept drift and ways…