Literate statistical programming is not just about reproducibility

"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 reproduc...

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Detalles Bibliográficos
Otros Autores: Peach, John, on-screen presenter (onscreen presenter)
Formato: Vídeo online
Idioma:Inglés
Publicado: [Place of publication not identified] : Data Science Salon 2019.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009822836306719
Descripción
Sumario:"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."--Resource description page.
Notas:Title from resource description page (Safari, viewed November 2, 2020).
Descripción Física:1 online resource (1 streaming video file (28 min., 42 sec.)) : digital, sound, color