Hello R-SIG-ECOLOGY 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 a comprehensive exploration of machine learning techniques, providing advanced analytical tools for complex data interpretation. Participants will gain practical skills in implementing algorithms such as k-means clustering, Gaussian Mixture Models, and Markov Chain Monte Carlo methods in R and Python, directly applicable to analyzing ecological and environmental datasets. These competencies will enable researchers to develop and optimize sophisticated models for their own studies, enhancing their ability to uncover patterns and make robust inferences from diverse data sources.
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-ecology mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
