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Giving an example of cleaning archive metadata, and creating a timeline visualisation using Plotly Express. We're using collection data in csv from the University of Melbourne Archives. This series of photographs is from the Shell Historic Archive.
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A constantly WIP comparison of samplers (nested, MCMC, etc.) which will evolve depending on the task at hand...
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Code faster in R fixing bottlenecks or using HPC at the University of Melbourne.
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Tempalte to run reproducible reports from Python, using nbconvert and Latex.
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this is a tech time mlflow example presentation given by Jonathan Garber
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