Caring about Analytics for HR
If you are not an expert on Analytics then you must be curious about how one can use analytics for better optimization, forecasting and reporting. Or how HR can benefit...
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DSC Webinar Series: Planes, Trains, and Automobiles – A Data Scientist’s Guide to Modeling Engine Degradation
With the growth of connected “things”, industries are presented with huge opportunities to leverage sensor data to improve their operations, products and services. Wi...
Big Data and Data Science. Some reflections on compensation levels
Guest blog post by Harry Powell, Head of Advanced Data Analytics at Barclays. I was at a meetup in Oxford recently and one of the speakers, the CEO of a tech start-up, b...
Big Data Knows Where Your Cat (and Kids) Live?
We all know the Internet loves cats. Cats that eat cheezburgers, cats that dance, cats that play piano… And cats that can tell strangers where you live. OK, the cat’s...
Can A Cow be an IoT Platform?
Summary: This is my favorite IoT story. We are so used to IoT platforms being physical objects that we forget about the potential for biologics. In terms of direct ec...
Biased vs Unbiased: Debunking Statistical Myths
Anyone who attended statistical training at the college level has been taught the four rules that you should always abide by, when developing statistical models and predi...
How to Represent Data with Intelligent Use of the Coordinate System
This is a guest repost by Jacob Joseph from CleverTap. The most widely used coordinate system to represent data is the Cartesian coordinates followed by Polar coordinate...
Implementing data science projects – the five essential skill sets
The future of business, it is argued, is digital. At the core of this digital transformation is the ability to harness data in enabling better business decisions. Typical...
Mars Craters: An Interesting Stochastic Geometry Problem
Impact craters are distributed randomly on Mars and many other celestial bodies. Their radius most likely follow an exponential distribution. By estimating the mean of th...
Data Science Projects: behind the scene
Organizations empty a considerable measure of exertion into the Business Intelligence and Analytics (BI/A). In late 2013, Gartner anticipated that the significance of BI/...