Dear colleagues,

We are excited to announce a new Transmitting Science course: 
Introduction to Machine Learning in R.

Dates & Schedule: Online live sessions on the 6th, 7th, 13th, 14th, 
20th, and 21st of September, from 9:30 to 13:00 (Madrid time zone).

COURSE OVERVIEW

Machine learning is a useful tool to analyze genetic and protein data. 
Plus it is starting to be used in the context of phylogenetic analysis.

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: 
[1] or writing to courses@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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Links: [1] 
https://www.transmittingscience.com/courses/statistics-and-bioinformatics/introduction-to-machine-learning-in-r/

Soledad De Esteban-Trivigno <soledad.esteban@transmittingscience.com>

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