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  • A 15-Week Course to Introduce Machine Learning and Intelligent Systems in R

    Every fall, I teach a survey course for advanced undergraduates that covers one of the most critical themes in data science: intelligent systems. According to the IEEE, these are “systems that perceive, reason, learn, and act intelligently.” While data science is focused on analyzing data (often quite a lot of it) to make effective data-driven decisions, intelligent systems use those decisions…

  • Newsletter of the American Society for Quality (ASQ) Innovation Division – Issue #1, July 2015

    MESSAGE FROM THE CHAIR Our first newsletter is a milestone for the Innovation Division of ASQ. A special thanks goes to Nicole Radziwill, our newsletter editor, for bringing this together. Another milestone for the Division was achieved at this year’s World Conference. We were recognized as the Division with the highest percentage of certified members! That speaks to the…

  • Simulation for Data Science With R

    Hey everyone! I just wanted to give you the heads up on a book project that I’ve been working on (which should be available by Spring 2016). It’s all about using the R programming language to do simulation — which I think is one of the most powerful (and overlooked) tools in data science. Please feel…

  • Improving the Quality of Your Writing

    Morgan and I work with students to produce written reports all the time. Sometimes, they’re working on their senior capstone project, which culminates in a formal written thesis… other times, they are working on shorter reports. Ultimately, the goal of writing is to produce an artifact that will effectively communicate a specific message to a specific audience.…

  • Logistic Growth, S Curves, Bifurcations, and Lyapunov Exponents in R

    If you’ve ever wondered how logistic population growth (the Verhulst model), S curves, the logistic map, bifurcation diagrams, sensitive dependence on initial conditions, “orbits”, deterministic chaos, and Lyapunov exponents are related to one another… this post explains it in just 10 steps, each with some code in R so you can explore it all yourself.…

  • A 15-Week Intro Statistics Course Featuring R

    Do you teach introductory statistics or data science? Need some help planning your fall class? I apply the 10 Principles of Burning Man in the design and conduct of all my undergraduate and graduate-level courses, including my introductory statistics class (which has a heavy focus on R and data science) at JMU. This means that…

  • A Simple Intro to Bayesian Change Point Analysis

    The purpose of this post is to demonstrate change point analysis by stepping through an example of the technique in R presented in Rizzo’s excellent, comprehensive, and very mathy book, Statistical Computing with R, and then showing alternative ways to process this data using the changepoint and bcp packages. Much of the commentary is simplified,…