Author: Igor Alcantara I just published a comprehensive white paper that tackles one of the most expensive problems in business today: analytics projects that nobody uses. The Real Problem Hiding in Plain Sight Most organizations think their analytics initiatives fail because of technical issues: bad data, wrong platform, poor visualizations. But that's not what kills projects. The real culprit? Poor adoption. Up to 87% of data science projects never reach production, and 60-

Author: Igor Alcantara Every dataset has a bit of Dr. Jekyll and Mr. Hyde in it. On the surface, it might look like one thing, but underneath it can take on multiple identities depending on how you examine it. In fact, sometimes it’s not just two identities; it’s ten. That’s where classification  comes in. Unlike regression, my previous article, which predicts how much or how many, classification sorts data into categories, revealing its hidden personas. Sometimes the split i

Q(p) = Regression - Headache Author: Igor Alcantara When someone says “regression,” your brain might first jump to childhood flashbacks of questionable fashion choices or to the time you fell back into eating instant noodles for dinner three nights in a row. Or maybe regression is the haircut I used in the 1990's when I was the singer and lead guitar player in a rock band (see below). But in the world of data science, regression is about moving forward using past data to pred