Convolutional Methods for Time Series Analysis
An exploration of convolutional for one dimensional data.
Intro to Parallel Processing for Data Analysis
An overview of what parallel computing is and how to use it for data analysis.
Gibbs sampling for LDA
A short overview of implementing a Gibbs sampler for the LDA model.
Reproducing the Rothman Index
An exploration of the methods and aims of the rothman index, including an overview of how to train the method on new data.
Automated testing in R
An introduction to automated testing for data analysis in R.
A brief overview of a few important concepts in taskmap