Fast.ai in R: How to Make a Computer Vision Model within an R Environment
In this presentation we present how to make use of the latest technical advancements in computer vision with an R setup even if they are originally implemented in Python.
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.
Posted by Krystian Igras,
7 July, 2020
