# Julia Silge
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julia silge (born June 10, 1978) is an American data scientist and software engineer. She has developed tools for statistical modelling in the R programming language, including the text mining package tidytext. Silge currently works for RStudio.
Issue 2022-W37 Highlights
A collection of highlights powered by mathematics, statistics, and a little bit of R magic: Mapping wind data with R, calculating the expected statistic in football, and how the vetiver package fits in an ML-Ops production flow using Docker and Plumber.
Episode Links
This week's curator: Jon …
Visualize Qualitative Data with Julia Silge
Julia Silge is a data scientist and software engineer at RStudio PBC where she works on open source modeling tools. She is an author, an international keynote speaker, and a real-world practitioner focusing on data analysis and machine learning. Julia loves text analysis, making beautiful charts, a…
Max Kuhn Shows You How to Model Data in R
Max Kuhn is a software engineer at RStudio. He is currently working on improving R’s modeling capabilities and maintains about 30 packages, including caret. He was a Senior Director of Nonclinical Statistics at Pfizer Global R&D in Connecticut. He was applying models in the pharmaceutical and diagn…
From physics PhD to data science leader, unexpected challenges in survey data, Python vs R, EDA best practices, building MLOps toolkit - Julia Silge - The Data Scientist Show #087
Julia Silge is an engineering manager at Posit PBC, formerly know as R-studio, where she leads a team of developers building open source software MLOps. Before Posit, she finished a PhD in astrophysics, worked for several years in the nonprofit space, and was a data scientist at Stack Overflow wher…
817: The Positron IDE, Tidy NLP and MLOps with Dr. Julia Silge
Dr. Julia Silge, Engineering Manager at Posit, introduces the brand-new Positron IDE, perfect for exploratory data analysis and visualization. She also lays out her top picks for LLMs that boost coding efficiency and discusses when traditional NLP methods might be the smarter choice over LLMs. Plus…
How we show up in open source with Julia Silge
Ever wonder if you're the only one who feels like open source is a mystery? Julia Silge shares how she went from thinking it was just "some person alone in a room" to realizing it's a whole world of collaboration and community! Plus, find out why being wrong on the internet isn't so bad after all.
How we show up in open source with Julia Silge
Ever wonder if you’re the only one who feels like open source is a mystery? Julia Silge shares how she went from thinking it was just ‘some person alone in a room’ to realizing it’s a whole world of collaboration and community! Plus, find out why being wrong on the internet …
Julia Silge: Part 1 — Positron, pineapple pizza, and the art of iteration
In part one of our conversation with Julia Silge, astronomer-turned–data-science leader, we explore why data science needs a different kind of IDE. Julia takes us inside Positron, Posit’s next-generation, data-scientist-first environment, and unpacks the day-to-day realities that make data science …
13. Julia Silge
Julia Silge discusses how she got into astronomy, her first non-data science positions after leaving academia, and how she then started blogging about data science and going to conferences, which opened up the door to new opportunities, including open source contributions, writing books, and data s…
Julia Silge: Part 2 — Glue work, licensing, and open source in the age of LLMs
In part two of our conversation with Julia Silge, we discuss how work actually ships: the boundaries, the glue, and the tools that turn noise into signal. From there, we go macro and wonder what the LLM era means for humanity’s contributions, plus how licensing is evolving to protect sustainability…
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