Dear all, Join us for Introduction to Machine Learning with R, a hands-on online course running 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 especially for researchers and students who want to learn how to apply machine learning to complex biological datasets like genomics, transcriptomics, and more. Whether you’re new to machine learning or just need a practical refresher, this course will guide you step-by-step through key concepts using R — no advanced experience required! Each afternoon (2–7 pm Berlin time), you’ll attend interactive lectures and practical sessions covering everything from supervised and unsupervised learning to model tuning and R tools like tidymodels. You’ll have plenty of opportunities to ask questions and apply what you learn to your own data. Fully online and open to international participants, this course offers a supportive environment to boost your skills and confidence in data analysis. Spaces are limited! 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-genetics mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-genetics
