Machine Learning for Earth and Planetary Sciences / Machine Learning for Geobiology
This course provides an introduction to machine learning concepts, techniques and algorithms and their applications in Earth and Planetary Sciences. The course covers both the fundamentals and application of machine learning techniques for research. Emphasis is placed on unsupervised and probabilistic methods and their use in Earth and Planetary Sciences.
Lecture Notes and Course Exercises can be found via the following links:
A special thanks for the teaching assistants and students that have helped develop this course, especially Piersilvio de Bartolomeis, Martin Popeski, Bernard Brixel, Andrew Acciardo, Victor Gillioz, and Casimir Fisch.