Category Archives: R Language

I decided to spin up a neural network demo program, using raw R language code. R is a language that’s quite unlike the others I use — mostly C#, Java, Python, and JavaScript — so it’s important for me to … Continue reading →

A book I wrote, “R Programming Succinctly” was published on June 5, 2017. See https://www.syncfusion.com/resources/techportal/details/ebooks/R-Programming_Succinctly. The R language is, arguably, the default, open source language for Data Science. My e-book describes how to write R language programs, as opposed to … Continue reading →

I wrote an article in the March 2017 issue of Visual Studio Magazine titled “Revealing Secrets with R and Factor Analysis”. See https://visualstudiomagazine.com/articles/2017/03/01/revealing-secrets-r-factor-statistics.aspx. Factor Analysis is a classical statistics technique that analyzes data to determine if some set of observed … Continue reading →

I wrote an article titled “Data Clustering using R” in the February 2017 issue of Visual Studio Magazine. See https://visualstudiomagazine.com/articles/2017/02/01/data-clustering-using-r.aspx. Data clustering is the process of programmatically grouping data so that similar items belong together. For example, suppose you have … Continue reading →

Factor analysis is a classical statistics technique that isn’t used too much in machine learning but it can be quite valuable. As is often the case with statistics and ML, it’s a bit tricky to explain what factor analysis is … Continue reading →

I wrote an article titled “Logistic Regression using R” in the December 2016 issue of Visual Studio Magazine. See https://visualstudiomagazine.com/articles/2016/12/01/logistic-regression-using-r.aspx. I consider logistic regression to be more-or-less the “Hello World” basic example of machine learning. Logistic regression is used in … Continue reading →