Workshop Program

The workshop will take place 9:00–noon each day from Monday November 16th through Thursday November 19th.

The workshop will be held in-person at the WRF Data Science Studio on the 6th floor of the Physics/Astronomy Tower at the University of Washington .

Each day of the workshop will focus on a different topics. These topics are additionally laid out in the Lesson Site. They are as follows:

• Day 1. Unsupervised learning: tools for organizing and simplifying data that don’t require one to have a specific goal or any examples of “correct” organization/simplification.
• Day 2. Supervised learning: tools that can model data but that require one to have some examples of what a “correct” model would predict.
• Day 3. Nonlinear models and optimization: tools for constructing one’s own models and how to fit them to a datasets.
• Day 4. Neural networks and deep learning: tools that use simple linear systems to model a wide variety of data, including convolutional neural networks (CNNs).