Literate Statistical Programming is not Just About Reproducibility

Video description

Presented by John Peach, Sr Data Scientist at Amazon Alexa

Science is facing a crisis around reproducibility and data science is not immune. Literate Statistical Programming is a workflow that binds the code used in an analysis to the interpretation of the results. While this creates reproducibility it also addresses issues around, auditing, re-usability and allows for rapid iteration and experimentation. This talk will describe a workflow that I have successfully used on small-scale data-sets in start-ups and on Amazon-scale problems in my work on Alexa. The talk will cover the tooling, workflow, and the philosophy you need to master Literate Statistical Programming.

Table of contents

  1. Literate Statistical Programming is Not Just About Reproducibility 00:28:42

Product information

  • Title: Literate Statistical Programming is not Just About Reproducibility
  • Author(s): Data Science Salon
  • Release date: September 2019
  • Publisher(s): Data Science Salon
  • ISBN: None