Dear colleagues,
We are excited to announce the second run of the course: "Introduction
to Machine Learning in R", organized by Transmitting Science.
Dates & Schedule: Online live sessions on March 21st, 28th and April
4th, 11th, 2025, from 9:00 to 14:00 (Madrid time zone).
COURSE OVERVIEW
Machine Learning is a trendy topic within the field of Artificial
Intelligence. We encounter the results of machine learning algorithms
daily, for example, when we shop online, play mobile games, apply for
insurance, or even "driving" a driver-less car.
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.
This course includes a range of activities such as model building demos,
live-coding sessions, interactive quizzes, and practical exercises to
work individually or in a group. Active participation and contribution
are highly recommended and encouraged.
More information on the course page:
https://www.transmittingscience.com/courses/statistics-and-bioinformatics/introduction-to-machine-learning-in-r/
or writing to cour...@transmittingscience.com
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
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