Everything I Know About Data Science I Learned from Model Railroading

Explore the fascinating parallels between data science and model railroading in this 32-minute conference talk from Data Council. Discover how the principles of model building in both fields can inform and enhance data science practices. Learn about intriguing comparisons such as overfitting versus the 10-foot rule, synthetic data versus prototype freelancing, and assumptions versus modeler's license. Gain valuable insights from speaker Peter Lenz, a Geographer and Data Scientist, as he combines his expertise in geoinformatics and economic geography with technical skills in programming and machine learning to create 'Big Social Science'. Delve into this unique perspective on data modeling and uncover lessons from the world of model railroading that can be applied to improve data science methodologies.

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