All Machine Learning Models Have Flaws

The multitude of models is a point of continuing confusion. It is common for people to learn about machine learning within one framework which often becomes there "home framework" through which they attempt to filter all machine learning. Explicitly understanding the existence of these other frameworks can help resolve the confusion. This is particularly important when reviewing and particularly important for students. Algorithms which conform to multiple approaches can have substantial value.