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xspliner: An R Package to Build Explainable Surrogate ML Models
xspliner is an R package that helps explain black box ML models. In this presentation, you will learn what PDP curves and GLMs are and how you can calculate them based on black box models. I'll then show you a specific use-case for xspliner.

eRum 2020: Appsilon Presentations On xspliner, fast.ai, and Writing Production-Ready R Code
Appsilon engineers Krystian Igras, Marcin Dubel, and Jędrzej Świeżewski, PhD will be giving virtual presentations on Friday, June 19th. Learn about xspliner, making production-ready R code, and using R for Machine Learning projects.

Why Remote Data Science Teams Should Use RStudio (Posit) Connect
Distributed data science teams bring unique challenges. Managers may be looking for new tools. In this article we’ll explain how RStudio Connect helps organizations to properly organize teams and overcome the typical inefficiencies of remote work.
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