peekxc / BayesianML

Bayesian Equivalents to popular Machine Learning algorithms

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BayesianML

Bayesian Equivalents to popular Machine Learning algorithms

Purpose

Provides of suite of Bayesian-equivalents to several machine learning (ML) algorithms, developed in the R language.

Algorithms developed here originally intended as the source code for project CS-7830

Report

The report is still in active development. You can see and edit the report as it progress on Overleaf

Authors

Matt Piekenbrock and Jace Robinson

About

Bayesian Equivalents to popular Machine Learning algorithms

License:MIT License


Languages

Language:TeX 90.1%Language:R 9.9%