About us
PyData Chicago is a monthly meetup to discuss all things python (or R, Julia, C++, Rust, Go, ...) and data! Our meetup is now hybrid! Enjoy the event in person or virtually, hosted on Zoom. We usually meet on the last Thursday of the month.
All meetups are recorded and posted on PyData's YouTube channel 1 week after the event -- unless the speaker does not want to be recorded. Presentation decks, code and other artifacts from the meeting are also shared with all attendees subscribed to the Meetup event 1 week after the event -- with the permission of the speaker.
The PyData Code of Conduct governs this Meetup. To discuss any issues or concerns relating to the code of conduct or the behavior of anyone at a PyData meetup, please contact co-organizer Olivia Martin via Meetup's message feature.
PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.
Upcoming events
2
Efficient Region-of-Interest Detection with Guidance
·HybridMerchandise Mart, 222 W Merchandise Mart Plaza, Chicago, IL 60654, Chicago, IL, USAbstract: Motivated by the challenges of detecting extremely rare failures in sophisticated circuit design specifications, we study the problem of efficiently identifying multiple disjoint regions of interest (ROIs) — regions of a continuous, high-dimensional parameter space where a complex, expensive-to-evaluate target function falls below or above a pre-specified threshold. We reframe this problem as a Bayesian sequential decision-making problem and, more broadly, as an instance of strategic agent behavior in continuous spaces: an agent that must allocate a hard evaluation budget intelligently, updating its belief about the unknown function after each observation and choosing the next query to maximize coverage of all disjoint failure regions rather than convergence to a single optimum.
This is a hybrid event. To attend online, join us on Zoom here at 6pm:
https://iit-edu.zoom.us/j/89379230295?pwd=NdETyE5sdYuSrvsrBZXSBFkUESBVkg.1Meeting ID: 893 7923 0295
Passcode: 5t5WYnSponsor: Grainger will provide the meeting site, as well as snacks for the onsite participants.
- Address: 222 W Merchandise Mart Plaza, 18th Floor, Chicago, IL 60654
- Grainger's Overview: W.W. Grainger, Inc., is a leading broadline distributor with over $17 billion in revenue. At Grainger, We Keep the World Working® by serving more than 4.5 million customers worldwide with maintenance, repair, and operating (MRO) products and services delivered through innovative technology and deep customer relationships. Our machine learning team builds broadly across search, recommendations, product matching, computer vision, and generative AI.
- Logistics: To access the Grainger office, we require first and last names of those who RSVP'd by Jun 11. Please take the main elevators at the center of the Mart. Attendees will then present their IDs when they arrive at the front desk on the 18th floor.
15 attendees
Past events
137
