Mark Twain famously said “There are three kinds of lies: lies, damned lies, and statistics.” Maybe if Mark Twain were alive today, he’d add “alternative facts” ...
Let’s be honest, today “big data” is sort of a dirty word in the public consciousness. It is associated closely with profit maximization techniques (such as recomme...
To be successful in business, every organization must find a way to accurately forecast and predict the future of its market, and its internal operations, and better unde...
Artificial Intelligence Overview AI refers to ‘Artificial Intelligence’ which means making machines capable of performing intelligent tasks like human beings. AI perf...
This is our second post of a new series featuring articles published long ago. We manually selected articles that were most popular or overlooked, time-insensitive (for i...
Every product team wants to know what makes their product thrive. They want to know how to optimize metrics and leave users the happiest and most engaged. Without a way t...
Summary: This is a lesson in how it may be possible to snatch victory from the jaws of defeat. 1.) A good ROC score does not necessarily mean a good model. 2.) Even a...
Past literature show that the comparisons of classifier’s performance are specific to the types of datasets (e.g., Pharmaceutical industry data) used; i.e., some cl...
Big companies are no longer the only players who put business intelligence to work for them to increase revenue. Small businesses are starting to use business intelligen...
The sudden increase in the volume of data from the order of gigabytes to zettabytes has created the need for a more organized file system for storage and processing of da...