In data science circles, the traditional view is that a predictive model does not need to understand why something occurs, it just needs to predict. Very complex models are like black boxes, and the trend has been to create models so black that if you fall into them you’ll end… Read More →
The R language was made for predictive analytics; however, it still has some challenges. When doing sophisticated analysis with R, scaling your workload and managing complex data sets can be tricky. Issues like assembling data, performance, scalability, and then distributing those models can still be difficult with this language.