Dear colleagues, There are a few slots available for Transmitting Science's course “Introduction to Machine Learning in R”.
Dates & Schedule: Online live sessions on *March 21st, 28th*, and *April 4th, 11th,* 2025, from* 9:00 *to* 14:00 *(Madrid time zone). Complete information on the course webpage: https://www.transmittingscience.com/courses/statistics-and-bioinformatics/introduction-to-machine-learning-in-r/ or writing to [email protected] Course overview Machine Learning is an extremely popular topic within the field of *Artificial Intelligence* which can be applied answer questions based on geometric morphometric data. The course aims 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*. This course includes a range of activities, such as model-building demos, live-coding sessions, interactive quizzes, and practical exercises, which can be completed individually or in a group. Active participation and contribution are highly recommended and encouraged. You can check the full list of upcoming courses here: https://www.transmittingscience.com/courses/ With best regards Sole -- Soledad De Esteban-Trivigno, PhD Director Transmitting Science www.transmittingscience.com Twitter @SoleDeEsteban Orcid: https://orcid.org/0000-0002-2049-0890 -- You received this message because you are subscribed to the Google Groups "Morphmet" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion visit https://groups.google.com/d/msgid/morphmet2/CAAkK8p1PpW48KTwDt27vr-GfKPMbxDu%2BXE%2BJi9nLobk2qYtEDQ%40mail.gmail.com.
