Getting to the Bottom

A Series for Optimization Methods for Statistics and Machine Learning

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News

Software updates

• 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.