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 -------------------- 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/ )
Learn Machine Learning with R & tidymodels (16–20 Feb)
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