Hello MARMAM members A reminder - Practical model-building methods can broaden analytical options for complex biological datasets. Machine Learning for Computational Biology is a seminar livestreaming October 29 with Nikolay Oskolkov (Lund University). Neural networks, random forests, k-means clustering, Gaussian Mixture Models, and MCMC are implemented in R and Python alongside model troubleshooting and ethical considerations. Practical coding covers gradient descent, neural networks, and random forests from scratch, with applications to biomedical, genetic, ecological, and genomic data. Marine mammal researchers can apply these computational approaches to biological, ecological, and genomic datasets in their own work.
Details and registration: https://instats.org/seminar/machine-learning-for-computational-biolo-4 The seminar page includes the full schedule and registration details. Best wishes Michael Zyphur Director and Co-founder Instats | instats.org _______________________________________________ MARMAM mailing list [email protected] https://lists.uvic.ca/mailman/listinfo/marmam
