Open Source Intelligence (OSINT) can use sophisticated Sociological and Psychological (Socio-Psycho) factors in order to positively identify Key Opinion Leaders (KOL). This animated presentation demonstrates just how it can be applied to one of the most opaque places on earth: The...
Gregory Piatetsky and Shashank Lyer have begun to answer one of the most asked question facing data science practitioners: Which tools work with which other tools? If I had a dollar for every time this question was asked of...
As a data scientist that works in the intelligence community, we are often asked to help identify where intelligence gathering and analysis resources should be allocated. Governmental and non-governmental intelligence organizations are bounded by both limited operational funds, as...
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...
The success of companies to effectively monetize their information is dependent on how efficiently they can identify revelations in their data sources. While Enterprise Data Science (EDS) is one of the necessary methodologies needed to organically and systematically achieve...
As director of ARPA in the 1970’s, George H. Heilmeier developed a set of questions that he expected every proposal for a new research program to answer. No exceptions. He referred to them as the "Heilmeier Catechism" and are...
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...
Anybody that has used R know just how frustrating it is to have an analytical idea in the mind that is hard to express. From a language perspective, R is pretty straight forward. For those that are just starting...
Single Value Decomposition (SVD) is one of my favorite tools for factorizing data, but it can be a rather hard concept to wrap one's brain around, especially if you don't have a strong mathematical background. In order to gain...
Jeffrey Leek, Assistant Professor of Biostatistics at John Hopkins Bloomberg School of Public Health, has identified six(6) archetypical analyses. As presented, they range from the least to most complex, in terms of knowledge, costs, and time. In summary,
Descriptive
Exploratory
Inferential
Predictive
Causal
Mechanistic
1. Descriptive...
