The AMS Short Course: Machine Learning in Python for Environmental Science Problems will be held on Sunday January 6, 2019 preceding the 99th AMS Annual Meeting in Phoenix, Arizona.

Interest in artificial intelligence, machine learning, and deep learning in the environmental sciences has grown rapidly in conjunction with the increased presence of AI in our daily lives. Many people now want to apply machine learning to their own data and problems but do not know where to start. This short course will enable participants to learn how to use Python machine learning and deep learning libraries to process their data, train a variety of machine learning models and generate predictions, and evaluate and interpret their models for physical understanding of what the models learned. Participants will interact with real-world data and the machine learning pipeline through a series of Jupyter notebooks that will enable thorough exploration of the data and methods.

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