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/course43/ )

Best regards, Carlo

Carlo Pecoraro, Ph.D
Physalia-courses DIRECTOR
info@physalia-courses.org
mobile: +49 17645230846
( https://www.linkedin.com/in/physalia-courses-a64418127/ )

"info@physalia-courses.org" <info@physalia-courses.org>

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