A Series of Tutorials and Demos on Topics of Interest to Data Scientists
The Topics in Data Science seminar is a new offering held this spring at the eScience institute. The goal is to provide a closer look at useful techniques in data science in a long-form interactive setting. Over the quarter, we’ll hear from a variety of speakers discussing tools and techniques that go beyond the fundamentals presented in previous courses. The seminars are partly interactive, so bring your laptops!
Spring 2018 Schedule
Time: Wednesdays, 10:00 – 11:30 a.m.
Location: Data Science Studio Seminar Room, 6th Floor Physics/Astronomy Tower
The seminars are partly interactive, so bring your laptops!
| Date | Title | Speaker | Affiliation |
|---|---|---|---|
| April 20 (Friday) | Tools for Data Cleaning and Munging (files) | Ryan Maas | Staff scientist, UW eScience |
| April 25 | Tensor Decompositions in Machine Learning (github repo) | Valentina Staneva | Data Scientist, UW eScience |
| May 2 | Sequential Experimental Design | Kevin Jamieson | Professor, UW CSE |
| May 8 |
Vega-Lite – A Grammar of Interactive Graphics | Dominik Moritz | Ph.D. Candidate, UW CSE |
| May 16 | Text Classification: From Logistic Regression to Neural Networks (data/slides) | Yangfeng Ji | Postdoctoral Researcher, UW CSE |
| May 23 | Evaluation Methods for Machine Learning | Bernease Herman | Data Scientist, UW eScience |
| May 30 | Convex Modeling and Optimization | Maryam Fazel | Professor, UW EE |
| June 6 | Theoretical Insights on Deep Learning | Zaid Harchaoui | Professor, UW Statistics |