Machine Learning in Earth and Atmospheric Sciences

Topics

• Identify the machine learning tools and techniques that are best suited for a given geoscience problem and justify their choice.
• Understand the most significant challenges in preparing geoscience datasets for machine learning and apply that knowledge to create machine-learning ready datasets.
• Train and evaluate basic supervised and unsupervised machine learning algorithms in Python using best practices for geoscience problems.
• Interpret outputs from machine learning algorithms and critically evaluate the limitations and biases of those outputs in their scientific context.
• Discuss and critically evaluate the ethical implications of machine learning solutions.

Official roster learning outcomes