Hello R-SIG-PHYLO members Instats is offering a new 1-day seminar Deep Learning for Complex Datasets with AI 3.0 livestreaming March 2, led by Nikolay Oskolkov (Group Leader (PI) at LIOS). This seminar explores deep learning techniques for analyzing complex datasets, offering methods to uncover intricate patterns and hidden structures within large biological data. Researchers in phylogenetics can leverage these advanced approaches, including neural network architectures and autoencoders implemented with R and assisted by ChatGPT, to model evolutionary processes, integrate multi-omics data for tree inference, or reduce dimensionality in comparative analyses. Participants will gain practical skills in applying convolutional and recurrent neural networks to sequential and genomic data, enhancing their capacity to derive novel insights from their own R-based phylogenetic and comparative research projects.
Sign up today (https://instats.org/seminar/deep-learning-for-complex-datasets-with-4) to secure your spot, and please 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]/
