Machine learning for ecology in a nutshell
These are slides and code for an overview of machine learning in ecology for a talk I gave to the R Club in the Department of Ecology and Evolution at University of Colorado Boulder. It is a condensed summary of a graduate course I taught for spring semester 2022. I briefly describe some key model algorithms. Click on the .md files for nicely formatted viewing on GitHub right here or work through the .R files in R on your computer.
For a deeper dive into these algorithms and more, including video lectures, head over to the Machine Learning for Ecology course's GitHub organization:
https://github.com/EBIO5460Spring2022/class-materials
Also see the companion first semester course in this graduate Data Science in Ecology sequence: