Dear all, The Physalia Introduction to Machine Learning with R course is taking place place online from 16 to 20 February 2026. Course website: [ https://www.physalia-courses.org/courses-workshops/course43/ ]( https://www.physalia-courses.org/courses-workshops/course43/ ) This course is designed to provide a broad, hands-on introduction to machine learning and multivariate data analysis methods tailored for biologists and life scientists working with omics datasets. In this course, participants will:
Understand core machine learning concepts and algorithms Learn to apply supervised and unsupervised learning techniques Gain practical experience with advanced R libraries, including tidymodels Explore real-world biological datasets through interactive exercises Topics include Random Forest, SVM, PCA, UMAP, and more The course runs daily from 2 PM to 7 PM Berlin time, combining lectures with practical demonstrations and plenty of opportunities for discussion and Q&A. This course is ideal for researchers and students with a foundational understanding o[ f statistics and the R programming language ]( https://www.physalia-courses.org/courses-workshops/fmc/ )who want to expand their data analysis toolkit with machine learning. Feel free to reach out if you have any questions! Best regards, Carlo -------------------- Carlo Pecoraro, Ph.D Physalia-courses DIRECTOR [email protected] mobile: +49 17645230846 [ Bluesky ]( https://bsky.app/profile/physaliacourses.bsky.social ) [ Linkedin ]( https://www.linkedin.com/in/physalia-courses-a64418127/ ) [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
