Sex, Drugs and Data

Where no Data Scientist has gone before.

  1. On Fechner, Weber, Whorf, Zipf and Pareto

    Thinking numbers in logarithms or in power? Scanning all of Wikipedia to find evidence

  2. A million bright ambassadors of morning

    Finding correlations between music and lyrics in thousands of Classic Rock songs, with Sparse Canonical Correlation Analysis

  3. For Mulan

    Translating drawings into formulas, building a shiny app for it, and not using Deep Learning

  4. Book'em Danno!

    Applying Deep Learning for the Visual Inference Lineup Protocol (Di Cook's Keynote at rstudio::conf 2018)