Dear 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/

Best regards,

Carlo Pecoraro, Ph.D

Physalia-courses DIRECTOR