Friday, November 15, 2019
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...
U.S. employers’ labor cost sustained its five year high into the third quarter of 2014. Economist believe this is being driven by a tightening labor market, which often results in company pressure to raise wages and salaries. According to the...
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...
Companies continue to struggle with how to implement an organic and systematic approach to data science. As part of an ongoing trend to generate new revenues through enterprise data monetization, products and services owners have turned to internal business...
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...
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...
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...
Data science is changing the way we look at business, innovation and intuition. It challenges our subconscious decisions, helps us find patterns and empowers us to ask better questions. Hear from thought leaders at the forefront including Growth Science,...
There is a lot of discussion around how data sciences and data analytics differ, from the tools that are used to the methodologies that are employed. Two useful perspectives are to look at the differences (what separates them) and...
How did Robert Ballard find the Titanic? Most people think it was by looking for it. Well, most people would be wrong. Ballard believed he could rediscovered the Titanic by looking for the debris field created when the ship sank....