# probabilistic matrix factorization (under construction)

## Summary

-No Summary-

## Notes

This concept is still under construction.

## Context

This concept has the prerequisites:

- Bayesian parameter estimation (PMF is a Bayesian model in which we need to estimate parameters.)
- probabilistic PCA (PMF can be seen as a Bayesian version of probabilistic PCA.)
- Gibbs sampling (We can sample the parameters using Gibbs sampling.)
- computations on multivariate Gaussians (PMF is motivated by only needing to perform linear algebraic operations on small matrices.)

## See also

-No Additional Notes-