Hi everyone Instats is offering a new 1-day workshop on Dimension Reduction Methods for Complex Datasets <https://instats.org/seminar/dimension-reduction-methods-for-life-sciences-2494> by professor Nikolay Oskolkov from Lund University, running August 12. This seminar provides a comprehensive overview of dimension reduction techniques in R (and Python) for high-dimensional biological and other forms of data, focusing on their practical applications. Participants will gain theoretical knowledge and practical experience in linear and nonlinear methods such as tSNE and UMAP -- unlike PCA and factor analysis, these methods allow for nonlinear solutions. By the conclusion of the seminar, participants will understand the theoretical and practical foundations of these methods, with a wealth of examples that can be rapidly applied for their own research problems.
As an affiliate member of an ecology lab at UCSD myself, I thought this might be of interest to the ecology R group, even though many of the examples presented will come from biological datasets. I hope this is ok! Sign up today <https://instats.org/seminar/dimension-reduction-methods-for-life-sciences-2494> to secure your spot in this exciting workshop and learn the intricacies of data reduction for complex datasets using the most popular techniques available today. Best wishes Michael Zyphur Director Institute for Statistical and Data Science *instats.org* <http://instats.org> <http://instats.org> [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list R-sig-ecology@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
