Course: Introduction to Machine Learning with R (online, 16–20 February).

[Physalia-courses]

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).



Course website:

https://www.physalia-courses.org/courses-workshops/course43/

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





For the full list of our courses and workshops, please visit: https://www.physalia-courses.org/courses-workshops



Best regards,
Carlo


--------------------

Carlo Pecoraro, Ph.D


Physalia-courses DIRECTOR

[email protected]