Tuesday, October 15, 2019
The U.S. is on the brink of witnessing some of the largest economic losses in net wealth since the Great Depression. The US Wealth To Income index (reported in Credit Suisse Global Wealth Report 2014) has exceed its mean...
In the article "46 Critical Capabilities of a Data Science Driven Intelligence Platform” an original set of critical enterprise capabilities was identified. In enterprise architecture language, capabilities are "the ability to perform or achieve certain actions or outcomes through a set...
Data sciences and data analytics not only use different techniques, that are often highly dependent on the distribution characteristics of the data, but also produce very different categorical types of insights. These insights range from a better understanding things...
At the request of a friend, I recently reviewed the article "Your Math Is All Wrong: Flipping The 80/20 Rule For Analytics” by John Thuma. It is a good article, but incomplete and bit misguided. Thuma argues that we...
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...
Moxie Group's Creative Director Tina Chadwick makes the case that real-time data analytics "brings us tangible facts on how consumers actually react to almost anything." She makes light of the "notion that 10 people in a room, who volunteered...
Data science is much more than just a singular computational process. Today, it’s a noun that collectively encompasses the ability to derive actionable insights from disparate data through mathematical and statistical processes, scientifically orchestrated by data scientists and functional...
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...
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...
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...