Hey all. This post looks at standardizing a time-series for machine learning. The idea is that when you have a running sensor, you have to batch standardize your data to remove any variations in the collection process. A vectorized algorithm for efficiently performing this standardization is presented.
I'm afraid the post got a bit too "math-heavy", but I'll be around the comments to answer any questions.