Saturday, July 21, 2018
Data sciences relies on a strong foundation of mathematics, statistics, and results visualization, most of which are available through R statistical programming ecosystems.  To master the data sciences, one needs to delve into some of the more important pieces...
Over the last several months I have been involved with developing uniques data science capabilities for the intelligence community, ones specifically based on exploiting insights derived from the open source intelligence (OSINT) found in the deep web. The deep web...
This is very early, but nevertheless interesting and is based on the initial insights from the "Film Industry Executives Golden Rule – Total Gross is 3x Opening Box Office Receipts" post. As discussed, identifying outliers could be an important...
The film entertainment industry believes that the total gross theater earnings from a film can be determined by looking at the opening gross box office receipts. Industry executives use the rule of thumb that for every dollar earned on...
This is the first in a series of screencasts designed to demonstrate practical aspects of data science. In this episode, I will show you how to integrate R, that awesome awe inspiring statistical processing environment, with Hadoop, the master...
There are a lot of great R resources on the internet, ranging from one off articles and texts to comprehensive tutorials. Here are a few of the more popular links:         60+ R resources to improve your data skills Introduction...

R: The Video!

In the last ten years, the open source R statistics language has exploded in popularity and functionality, emerging as the data scientist's tool of choice. Today, R is used by over 2 million analysts worldwide, many having been introduced...
R is an extremely useful software environment for statistical computing and graphics. But as awesome as it is, it can be quite daunting to find just the right package for a specific task. Well, CRAN Task Views is designed to...