Editor’s note: This article compares measures for model performance. Note that “accuracy” is a specific such measure, but that this article uses the word “accuracy” to generically refer to measures in general. In data mining, data scientists use algorithms to identify previously unrecognized patterns and trends hidden within vast amounts of structured and unstructured information.
With the field of predictive analytics becoming a more mainstream business discipline, the end objective for many organizations is to operationalize this discipline in order to truly leverage the full business impact. The notion of “operationalizing” this...
I’d like to offer up some thoughts about what it means to practice data science in the real world, because merely knowing the math isn’t enough. Anyone who knows me well knows that I’m not the sharpest...
Predictive Analytics Times Subscribers Now Have Online Access to Boston 2013 Conference Keynotes and Sessions Boston, MA (PRWEB) January 30, 2014 The Predictive Analytics Times has launched a suite of hosted videos from Predictive Analytics World Boston...
Anticipatory shipping may be closest that retail can come to a crystal ball. Amazon, which now has a patent for the algorithm-based system, could conceivably use the system to ship products before you even place an order....
Three recent books offer managers expert perspectives on the increasing power and importance of analytics. U.S. President Barack Obama’s 2012 campaign owed much of its success to quantitative analysis, with staffers able to identify, for example, which...
In the past, big data discussions centered mostly on storage and organization followed by debates on the best way to do analysis in real-time or otherwise. This year the buzz centers on predictive analytics. Of, course we’ve...
Department store conglomerate Target Brands Inc. knows when its female customers are pregnant long before they start buying cribs. Google Inc. was able to track the H1N1 flu in real-time using Internet search queries when the government...
Was 2013 the Year of Talent Analytics? I think it’s safe to say that “2013 was the year of talent analytics”. Global discussions about talent analytics, as a concept, have certainly been great for our brand,...
