Compare data distributions using median, interquartile range, and percentiles.
Visually determine data distributions.
Generate random samples from specified probability distributions, and displays display the samples as histograms.
Choose a regression function, and update legacy code using new fitting functions.
Workflow for training, comparing and improving models, including automated, manual, and parallel training.
Steps to take, and characteristics of nonparametric classification and regression functions
Address statistical modeling problems with active data collection.