Hello R-SIG-PHYLO members Last chance to join our 1-day seminar Machine Learning for Computational Biology 2.0 livestreaming January 13 with Nikolay Oskolkov (Group Leader (PI) at LIOS). This workshop offers practical skills in machine learning, including coding algorithms from scratch in R and Python, which are directly applicable to complex biological datasets. Researchers in phylogenetics can leverage techniques like Markov Chain Monte Carlo (MCMC) to deepen their understanding of Bayesian inference methods or apply random forest and clustering algorithms for advanced comparative analyses of evolutionary traits and genetic patterns. Gaining hands-on experience with these tools will empower you to develop novel analytical approaches and enhance your existing R-based phylogenetic workflows.
Sign up today (https://instats.org/seminar/machine-learning-for-computational-biolo) to secure your spot, and feel free to share this opportunity with colleagues and students who might benefit! Best wishes Michael Zyphur Professor and Director Instats | instats.org [[alternative HTML version deleted]] _______________________________________________ R-sig-phylo mailing list - [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-phylo Searchable archive at http://www.mail-archive.com/[email protected]/
