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Machine Learning for Snowflake Classification (Grades 9-12, and undergraduates)

June 8, 2020
DESCRIPTION: Machine learning is being used to make advances in just about every industry today. In this session, we will introduce you to the three components of machine learning and show you how they come together to automatically classify images of snowflakes. This introduction will include a description of up to four different machine learning algorithms, which are different ways of applying mathematical and statistical techniques to find the best solution.

Presenter: Kyle Fitch, PhD Candidate, Department of Atmospheric Sciences, University of Utah

ADDITIONAL RESOURCES



1. Zooniverse Snowflake Spotter - Participate in a citizen science project and help scientists ID snowflakes to improve weather forecasting.

2. Deep Learning with Python - Expand your knowledge on deep learning.

3. Pattern Recognition and Machine Learning - Learn about creating models for pattern recognition and machine learning, includes practice exercises.