# Matrix Factorization

Matrix factorization is a class of algorithms used for recommender systems in machine learning. Matrix factorization algorithms work by decomposing dimensionality. Commonly known matrix factorization algorithms are SVD and PCA.

23 May 2019

Matrix factorization is a class of algorithms used for recommender systems in machine learning. Matrix factorization algorithms work by decomposing dimensionality. Commonly known matrix factorization algorithms are SVD and PCA.

13 May 2019

This post is going to illustrate how to sync a fork of a repository to keep it up-to-date with the upstream repository.

12 May 2019

We use .gitignore file to untrack certain folder and/or files to the remote repository. However sometimes you have some files already pushed to your remote repository. Now you want to only keep them locally, so here is how to remove them from the remote repository.

11 May 2019

Having math equations in a report can be painful. Here are some LaTeX commands often used in scientific reports. I will try to keep this post updated. The LaTeX rendering on this website is done by an open-source

08 May 2019

By default, git will use fast forward when merging a branch. The problem with fast forward is the branch information will be lost after deletion. However, if we specifically forbid the fast forward mode, a new commit will occur with the branch information.

07 May 2019

For statistical analysis, we usually use stargazer package in R to generate tables with regression analysis results. In order to put those tables into our report, we need to output it in .tex or .html file format. To

30 April 2019

In this tutorial, I want to briefly mention some stuff you might be interested in while your website is gradually growing.

26 April 2019

In this tutorial, we are going to discuss several ways to deploy our Ghost website publicly.