---

This site uses cookies. Read more.

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...

xspliner: An R Package to Build Explainable Surrogate ML Models

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.
 7 July 2020
In this talk you’ll learn tools and best practices for making clean, reproducible R code in a working environment ready to be shared and productionized....

How to Write Production-Ready R Code: Tools and Patterns

How to Write Production-Ready R Code: Tools and Patterns
In this talk you’ll learn tools and best practices for making clean, reproducible R code in a working environment ready to be shared and productionized. We cover the benefits of version control, plumber, RStudio Connect, and many other tools.
 25 June 2020
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...

Fast.ai in R: How to Make a Computer Vision Model within an R Environment

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.