See on Scoop.it – Corporate Challenge of Big Data
As organizations invest in analytics, predictive analytics is becoming a focus area. These advanced, mathematically based approaches are a powerful tool for leveraging data.
See on Scoop.it – Corporate Challenge of Big Data
As organizations invest in analytics, predictive analytics is becoming a focus area. These advanced, mathematically based approaches are a powerful tool for leveraging data.
See on Scoop.it – Corporate Challenge of Big Data
Advances such as the driverless car are no longer the stuff of sci-fi. While it could trigger the demise of truck and taxi driving as a job, it could liberate those unable to drive.
See on www.guardian.co.uk
See on Scoop.it – Corporate Challenge of Big Data
Bad data is worse than no data at all…. One can’t help being impressed with the effort biologists, physicists, and other scientists devote to data quality. The attention science pays to data quality provides important lessons to business and government especially for those interested in “Big Data.”
by Thomas C. Redman | 11:00 AM September 27, 2012
See on blogs.hbr.org
See on Scoop.it – Corporate Challenge of Big Data
With the launch last week of Datascape I thought it would be worth putting an MD’s perspective on the product – how we got here, what the philosophy is that li……
Posted by David Burden on September 24, 2012 at 5:58am
See on www.datasciencecentral.com
See on Scoop.it – Corporate Challenge of Big Data
Learn why social media lead management is the future of social media marketing.
See on blog.hubspot.com
See on Scoop.it – Corporate Challenge of Big Data
R is free to use without any license; enhance capabilities without increasing annual licensing costs.
R works seamlessly with your existing SAS or SPSS installation.
New 64-bit R installation is very powerful on both Windows and Linux.
R works on desktops and servers.
R-studio allows you to have amazing GUI interfaces to get things done easily.
Major universities are contributing to improve R.
R-based Rattle provides a powerful data visualization tool.
Output of R can be used in SAS for more processing, if needed.
R is completely object-oriented.