Dear all, we have the last 5 seats available on the 3rd edition of the Physalia course "Machine Learning in R" Dates and Schedule: 21-25 February 2022 Course website: [ https://www.physalia-courses.org/courses-workshops/course43/ ]( https://www.physalia-courses.org/courses-workshops/course43/ ) The objective of the course is to provide a broad hands-on introduction to the use of multivariate methods and machine learning for the analysis of complex biological datasets. The syllabus has been planned for people with zero or very basic knowledge of machine learning. Students are assumed to have basic familiarity with R programming language. Programme: [ https://www.physalia-courses.org/courses-workshops/course43/curriculum43/ ]( https://www.physalia-courses.org/courses-workshops/course43/curriculum43/ )
Here is the full list of our courses and Workshops: [ https://www.physalia-courses.org/courses-workshops/ ]( https://www.physalia-courses.org/courses-workshops/ ) Best regards and Happy holidays, Carlo -------------------- Carlo Pecoraro, Ph.D Physalia-courses DIRECTOR i...@physalia-courses.org mobile: +49 17645230846 Follow us on [ Twitter ]( https://twitter.com/Physacourses ) [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list R-sig-ecology@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
