Message-ID: <1769151596.40218044@webmail.jimdo.com>
Date: 2026-01-23T06:59:56Z
From: i@io m@iii@g oii phys@ii@-courses@org
Subject: Learn Machine Learning with R & tidymodels (16–20 Feb)
Good morning all,
Are you interested in mastering machine learning for biological data?
There are a few seats left for our online course "Introduction to Machine Learning with R" (16?20 February).
Biology today generates complex multivariate data from multi-omics studies (genomics, proteomics, metabolomics, transcriptomics). Machine learning is a powerful tool to help analyze and interpret this data, alongside classical statistics.
In this course, you?ll get hands-on experience with multivariate methods and machine learning algorithms applied to biological datasets ? including practical training using the tidyverse-friendly tidymodels framework.
Course programme (all sessions 2?7 pm Berlin time):
ML basics and tidy ML with tidymodels
Supervised learning: regression, classification, model selection
Overfitting, resampling, model tuning
Tree-based methods: Random Forest, Boosting
Unsupervised learning: PCA, UMAP, Self-Organizing Maps
Course website: [ https://www.physalia-courses.org/courses-workshops/course43/ ]( https://www.physalia-courses.org/courses-workshops/course43/ )
Best regards,
Carlo
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Carlo Pecoraro, Ph.D
Physalia-courses DIRECTOR
info at physalia-courses.org
mobile: +49 17645230846
[ Bluesky ]( https://bsky.app/profile/physaliacourses.bsky.social ) [ Linkedin ]( https://www.linkedin.com/in/physalia-courses-a64418127/ )
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