Does Mathematica have a way to do machine learning on data measurements that themselves have an uncertainty attached to them? I have n observations on p features, each individual value of which can be expressed as a mean +- error. Some of the individual values are much more noisy than others, but I'm currently (in R) completely ignoring this variability and just taking the mean. I know there is Interval, and I've just seen Around today