Self-publishing to the rescue

The new Coursera course by Princeton Professor Mung Chiang was so popular that Amazon and the publisher ran out of copies of the textbook before the course even started (see “new website features” announcement; requires login). I experienced a stockout of my own textbook (“Data Mining for Business Intelligence”) a couple of years ago, which caused grief and slight panic to both students and instructors. With stockouts in mind, and recognizing the difficulty of obtaining textbooks outside of North America (unavailable, too expensive, or long/costly shipping), I decided to take things into my own hands and self-publish a “Practical Analytics” series of … Continue reading Self-publishing to the rescue

Trees in pivot table terminology

Recently, I’ve been requested by non-data-mining colleagues to explain how Classification and Regression Trees work. While a detailed explanation with examples exists in my co-authored textbook Data Mining for Business Intelligence, I found that the following explanation worked well with people who are familiar with Excel’s Pivot Tables: Classification tree for predicting vulnerability to famine Suppose the goal is to generate predictions for some variable, numerical or categorical, given a set of predictors. The idea behind trees is to create groups of records with similar profiles in terms of their predictors, and then average the outcome variable of interest to … Continue reading Trees in pivot table terminology