Consequently, it can load datasets up to a few GBs in memory, which means millions, if not billions, of data points. For many machine learning tasks ... tricks are needed to parallelize the ...

Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...

Social media sites are just one example of a growing number of applications ... based on the data it reads. A machine learning application could draw on thousands of data points.

The information age is built on mathematics. From finding the best route between two points, predicting the future load on a ...

A series of papers described astonishing results from using machine learning, the technique beloved by tech giants that underpins modern AI. Applying it to data such as a country’s gross ...

Airbnb wants its hosts to set their own prices. But the home-sharing company, armed with billions of data points, is nevertheless starting to nudge hosts toward prices that earn them -- and ...

For example, RiteClass's predictive admissions platform uses machine learning to produce a "Prospective Student Fit Score" by ingesting data about current students ... I can type the ISBN number into ...

One last thing you need to know: machine (and deep) learning comes in three flavors: supervised, unsupervised, and reinforcement. In supervised learning, the most prevalent, the data is labeled to ...