Dear evoldir members, Transmitting Science is offering the course "Introduction to Machine Learning in R" (3rd edition). The aim of the course is to introduce participants to the main components for implementing Machine Learning in R using the {tidymodels} and {tidyverse} framework packages. By the end of the course, students will be able to perform the necessary tasks for machine learning such as defining the problem, prepare and pre-process data, and apply different machine learning algorithms such as Extreme Gradient Boosting, Random Forests etc. In addition, we explore how to fit a model and evaluate its performance as well as measuring the accuracy of model predictions. Dates: January 9th, 16th, 23rd, and 30th, 2026 Schedule: 14:30-18:00 CET Learn more and register here: https://www.transmittingscience.com/courses/statistics-and-bioinformatics/introduction-to-machine-learning-in-r/ If you have any questions do not hesitate to contact us at courses@transmittingscience.com Best regards, Haris Haris Saslis, PhD Course Coordinator Transmitting Science www.transmittingscience.com [1] Links: [1] http://www.transmittingscience.com Haris Saslis - Transmitting Science (to subscribe/unsubscribe the EvolDir send mail to golding@mcmaster.ca)