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!
|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|
||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|