How data mining, regression analysis, machine learning (ML), and the democratization of data intelligence and visualization tools are changing the way we do business. By Rob Marvin July 12, 2016 ...

If you work in science, chances are you spend upwards of 50% of your time analyzing data in one form or another. Data analysis is such a large and complex field however, that it's easy to get lost ...

and statistics — to perform analysis on data in an effort to describe, predict, and improve performance. To ensure robust analysis, data analytics teams leverage a range of data management ...

Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. Research firm Gartner ...

Of course, you’re likely far less equipped to do data analysis than Excel. As one of America’s top 50 jobs these days, you can punch your ticket to a new career with the training in The Data ...

Organizations that use predictive data analysis can anticipate future outcomes, identify risk and are better positioned to make decisions. Predictive analytics can be traced back to early ...

Therefore, an important part of scientific data analysis is to recognise outliers as such or to predict meaningful estimates ... modelled on real scenarios. To do this, the scientists create ...

the Fire Risk Analysis project has developed a predictive model of the likelihood of a fire incident to occur in a commercial property in a given year using historical fire incident data from the ...