Workshop / Overview
This workshop will be held online.
The workshop will consist of brief presentations followed by live demonstrations and hands-on exercises focusing on applied problems from medicine, education and business. The presented code and exercises will draw mostly on the new tidymodels framework.
This workshop is a short form of our typical 2-day course on ML with R. Feel free to explore our open materials on The R Bootcamp website and our program from our previous course at the AMLD.
Workshop / Outcome
Learn to implement the full machine learning pipeline (pre-processing, fitting, tuning, evaluation) using R to solve applied regression and classification problems.
Workshop / Difficulty
Workshop / Prerequisites
There are no strict knowledge prerequisites for this course
Prior experience with a programming language (e.g., R, Python), as well as basic knowledge of statistics, is helpful but not necessary.
Own laptop/computer with with R, Rstudio, and a list of packages installed. Detailed installation instructions will be provided.
Track / Co-organizers
Towards ethical AI – practical tools for responsible data scientists
With Johan Rochel & Lea Strohm10:00-11:30 November 10Online
How to make your NLP system multilingual
With Adam Bittlingmayer & Nerses Nersesyan10:00-12:00 March 02Online