The Rule of Least Power in Data Analytics – Part 1 - Data Makes Possible

Written by Dr. Kirk Borne I recently learned about the rule of least power in computer programming. The principle expresses the notion that one should use the least powerful programming language to code a given task, while still meeting the business requirements. It occurred to me that a similar concept can apply to data analytics tasks, specifically in data science modeling using machine learning algorithms. In this post, this "doctor of analytics" prescribes this approach for your next analytics project. We have often defined analytics as the products of data science activities that apply machine learning and statistical algorithms on data in order to achieve one or more business requirements.