Predictive analytics can be grouped into two general classes: supervised learning methods (e.g. regression, classification) and unsupervised methods (e.g. clustering) as mentioned in last week’s ...

Last week Microsoft released R Server (MRS) 9.0. Ironically, I was so busy working with R Server for a conference workshop I was presenting at the end of the week, that I needed to wait until this ...

PALO ALTO, Calif.--(BUSINESS WIRE)--Launching under a new name and new leadership, Revolution Analytics today unveiled its plans to further drive commercial adoption of the open source R statistics ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. For decades, predictive analytics was a capability largely reserved for companies with deep ...

In this new Guide to Predictive Analytics we will review how predictive analytics helps your organization predict with confidence what will happen next so that you can make smarter decisions and ...

NEW YORK, N.Y., Oct. 29 – Alteryx today announced that for the first time, analysts and business users can easily create and run sophisticated predictive analytics directly on data stored in CDH ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. As the supply chain stabilizes, many manufacturers are returning to normal operations with ...

Cybersecurity experts and analysts are constantly trying to keep pace with changes and trends in the volatile and ever-shifting landscape of IT security. Machine-learning-powered solutions have ...

Predictive analytics is causing a fundamental shift in accounting, from historical record-keeping toward forward-looking financial information. By helping accountants to predict results and make ...

Predictive analytics is the study of historical data to make future predictions. It is a data analysis method that uses past information to identify patterns and make educated guesses about future ...