# Getting to the Bottom

A Series for Optimization Methods for Statistics and Machine Learning

## News

• Version 2.0: Functions added for the Getting to the Bottom of Matrix Completion and Nonnegative Least Squares with the MM Algorithm article.

• Version 1.0: Package release. Functions for the Getting to the Bottom of Regression with Gradient Descent article included.