The Elusive Search of Approachable Taxonomy for Machine Learning Algorithms – R&D

Well, maybe not that last one, but you see what I mean. One fundamental principle in Machine Learning and Data Science methods is that randomly applying methods and hoping for the best is never a good strategy. Knowing your data, and the underlying fundamentals of the algorithms applied to this dataset are positively correlated with how accurate, meaningful, and insightful you'd like your results to be. There is a world of wrong one can do by creating incorrect models. It is so important now more than ever because with modern machine learning libraries, and amazing toolsets like scikit learn, theano etc, it is easy to fool oneself into thinking we are using the right classifier which in reality might not be the case.