Benjamin PeckinGeek CultureUnderstanding US Regions through Cluster AnalysisNobody agrees on where “the South” begins. Can an algorithm help?Sep 1, 2021Sep 1, 2021
Benjamin PeckinGeek CultureIntroduction to ClusteringMuch of the buzz around data science focuses on its predictive power — the ability to create models which can distinguish between…Jul 6, 2021Jul 6, 2021
Benjamin PeckinTowards Data ScienceData Science for History: Predictive Modeling and Problems of ScaleWhy Peter Turchin’s “cliodynamics” can’t quite predict the futureDec 5, 2020Dec 5, 2020
Benjamin PeckinAnalytics VidhyaIntro to Linear RegressionLinear regression is the grandfather of all predictive models. Two centuries on, it’s been largely eclipsed in glamor by its progeny, but…Mar 19, 2020Mar 19, 2020
Benjamin PeckinTowards Data ScienceData Science for History: Distant ReadingOne of the most promising applications of data science for history has been the technique known in the digital humanities as “distant…Mar 16, 2020Mar 16, 2020
Benjamin Peck“Digital History” vs “Data Science for History”A clarification of termsMar 12, 2020Mar 12, 2020
Benjamin PeckHistory Data is Abundant, but MessyIn a previous post, I discussed the vast amount of data available to historians and the possibilities presented by new methods of working…Mar 11, 2020Mar 11, 2020
Benjamin PeckData Science is History’s FutureHistory, as a discipline, has a data problem. Not that there isn’t enough data to work with — on the contrary, there’s far too much.Mar 10, 2020Mar 10, 2020
