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In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications.
Open source software is ubiquitous throughout data science, and enables the work of nearly every data scientist in some way or another. Open source projects, however, are disproportionately maintained by a small number of individuals, some of whom are institutionally supported, but many of whom do this maintenance on a purely volunteer basis. The health of the data science ecosystem depends on the support of open source projects, on an individual and institutional level.
https://hdsr.mitpress.mit.edu/pub/xsrt4zs2/release/2
Linear Digressions
In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications.
