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 ...

MONTREAL, QC and NEW BRUNSWICK, NJ--(Marketwired - January 30, 2018) - Engagement Labs Inc. (TSX VENTURE: EL) today announced the release of TotalSocial® version 3.0, which incorporates an artificial ...

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 ...

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 ...

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 ...

Can predictive analytics support labor cost forecasting by improving staffing and aligning resources with patient demand in health systems?

Award-winning corporate finance professional, Opeyemi Aro, has shared expert insights on how predictive analytics is poised to transform the financial sector, highlighting its potential impact and ...