Knowledge is everywhere. Let’s share!

While I try to carefully prepare all materials, I might make mistakes. Please feel free to reach out if you spot an error or a doubtful statement in my posts.

Stats/ML tutorials

These materials were developed when I worked at MD Anderson. The goal was to discuss at a high level some topics in statistics and machine learning that are commonly seen in biological applications. The target audience are students without strong Stats/ML background but with some experience in using these methods.

• [Feature Selection – pt. I]: Wrapper methods & penalization methods.

• [Feature Selection – pt. II]: Penalization methods (cont.).

Computing

• [R’s C Interface]: Call C functions from R & build an R package with C backend code.

• [CUTEst installation and MATLAB interface]: Instructions on installing CUTEst on Linux and using it in MATLAB.

Scientific writing

• [How to improve scientific writing]: My thoughts and experiences on how to improve scientific writing.