Data analytics can help improve decision-making in organizations. But human intuition and judgment need to be part of the picture to keep analytical models from going awry.
Data scientist jobs can be notoriously difficult to fill, but businesses can turn to tools that fill in gaps in staffing and take care of their analytics needs.
Data science can be incredibly valuable if done right, but just as damaging if done wrong. Here, a data science expert discusses three common predictive modeling pitfalls.
Universal second factor devices can be used to strengthen authentication on major websites such as Facebook. Expert Matthew Pascucci explains how U2F works.
The R programming language is an open source scripting language for predictive analytics and data visualization.
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