Imagine you decide to sell your home. You contact a realtor and ask them to value your house. However, if the realtor doesn’t offer any insight into how they arrive at their estimate—for example, what ...

Since its inception, Google has made its way towards being the most sought after input box on the whole web. This is a path that’s usually monitored with an ever-increasing curiosity, from web ...

How Hansel and Gretel, Sherlock Holmes, the movie Groundhog Day, Harry Potter, and other familiar stories illustrate the concepts of computing. Picture a computer scientist, staring at a screen and ...

Supervised learning algorithms learn from labeled data, where the desired output is known. These algorithms aim to build a model that can predict the output for new, unseen input data. Let’s take a ...

Life-changing decisions are happening in the dark. Machine-learning algorithms now determine decisions from loan applications to cancer diagnoses. In France, they place children in schools. In the US, ...

Analytics has evolved from the basics -- visualizations, historicals and dashboards -- to the more complex with recommendations and predictions of outcomes. Now it's time to step it up and get ...

It’s that time of year again. March Madness is upon us, in all its basketball, school-spirit, gambling, money-on-the-line, eyes-glued-to-tiny-phone-screen-sports-apps, hidden-browser-tab-at-work, ...

Can we ever really trust algorithms to make decisions for us? Previous research has proved these programs can reinforce society’s harmful biases, but the problems go beyond that. A new study shows how ...

In an ideal world, every visit to the doctor would go something like this: You’d explain what brought you in that day, like some unexplained knee pain. Your physician would listen carefully, run some ...