Past Meetup Events
materials for some talks pending
October 07, 2020
Lightning talk extravaganza!
- “A 5 Minute Introduction to the Use of Color in Data Visualization” with Steven Bedrick
- “Automated Voter Registration’s Effect on Voter Turnout” with Allison Sliter
- “Stateful Distributed Computing with Ray” with Tom Baldwin
- “ONNX: Why and how to deploy your model in an open standard format” with Adam Breindel
September 09, 2020
- “Quick Demo and intro to GPT-3” with Trevor Bhattacharya
- “Privacy in the Workplace: Data Professionals as Data Subjects” with Erica Hanson
August 12, 2020
- “How to build super-fast custom NumPy dataloaders for binary or irregularly structured data” with Chris Maierle
- “Modern Time Series Analysis with STUMPY”, with STUMPY creator and maintainer, Sean Law
July 08, 2020
- “The Shape of a City: Applications of Urban Data Science in Housing and Land Use” by Marley Buchman
- “Top 5 Troublesome Misconceptions about PySpark” (lightening talk) by Adam Breindel
June 10, 2020
The triumphant return, socially distanced
- “Matchmaking for Industry: Estimating Expertise from Issue Tickets with Topic Modeling” by Philip Robinson, machine learning engineer
- “A ridiculously brief introduction to Python, data, and GPUs” (lightening talk) by Adam Breindel
March 10, 2020
- “Sentence As Vector: Occasionally Successful Attempts at Encoding Meaning”
- “Contributing to Open Source” (lightening talk) by Sam Hoffman from Cascade Data Labs: video
- “Real World Complexity: Why public policy needs data science”
February 11, 2020
- “What’s So Special about Earth Science data?” by Annie Burgess, PhD, from Earth Science Information Partners
- “Demystifying Convolutional Neural Nets” by Manny Muro
January 14, 2020
- “Packaging a Python GUI application” by Ogi Moore from Sensory
- “Accelerating Accelerated Computing: How development best practices can kick start science” by John Russo, PhD Student in the OHSU Center for Spatial Systems Biomedicine
November 12, 2019
- ‘But the data was public anyway!’ Practical ethics for the practicing data scientist” by Steve Bedrick from OHSU
- “JupyterHub in Engineering Education” by Peter Kazarinoff from Portland Community College
October 08, 2019
- “How Python Powers Machine Learning at Stripe” by Rob Story from Stripe
- “Solving a Multi-Armed Bandit problem with Thompson Sampling” by Abdoul Ouedraogo
September 17, 2019
- Equally fearless founder Allison Sliter with “Data Presentation for Everyone: Simple Ways to Make Sure Your Data Makes an Impact”
- “Using Python to automate Revit” by Ehsan Nejad, Architect at TVA Architects and creator and maintainer of pyRevit
August 14, 2019
- Special out of town guest Sarah Bird on browser tracking detection and protection</li>
- Fearless founder Bryan Van de Ven with an intro to Bokeh