The term “support vector machines” is a confusing name for a predictive analytics algorithm. The fact is this term […]
You know that predictive analytics has really arrived when there are two articles about it in a single […]
Far too often, even experienced data scientists get confused about what feature engineering really means. They may mistake […]
In this previous article we described how to construct basic tools such as the “confusion matrix” and Lift/Gain charts to evaluate […]
In a previous article we discussed the application of principal component analysis (PCA) using RapidMiner to reduce the dimension of […]
In this post on data science for all, let us explore the interesting idea of predicting machine failure […]
There is something really hypnotic about this picture. It is hard to explain, but the patterns we see […]
A decision tree model can be effectively used to determine the most important attributes in a dataset. The […]
While acknowledging the general overall risk in using models, it is important to know how to mitigate some of […]
You can use insights from entropy for measuring uncertainty for a variety of business problems, ranging from risk […]