Next Meetup

Methods for Interpretable Machine Learning
Interpretability is the degree to which a human can understand the cause of a decision or prediction. This talk will provide an introduction to model interpretability and its importance in healthcare and other industries. Next, we will discuss models that are interpretable by design, and then delve into obtaining model-agnostic interpretability methods and interpretability of complex models. ----- Haitham Maya is a Data Scientist at JOOL Health. He studied Biomedical Engineering and Statistics at the University of Michigan. Some of his latest work at JOOL has involved designing a coaching platform that delivers recommendations and feedback on people's health and wellbeing. Brandon Stange is a Data Scientist at JOOL Health. After his Master's in Economics at Central Michigan University, he found his way to healthcare analytics. For the last 8 years, he's worked for providers and health systems, learning and applying analytics to health outcomes. His latest work at JOOL Health has centered around applying various NLP approaches to improve the user experience in their application.

TD Ameritrade

201 S. Division, Suite 500 · Ann Arbor, MI

Upcoming Meetups

Past Meetups (22)

What we're about

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.

PyData Ann Arbor is a group for amateurs, academics, and professionals currently exploring various data ecosystems. Specifically, we seek to engage with others around analysis, visualization, and management. We are primarily focused on how Python data tools can be used in innovative ways but also maintain a healthy interest in leveraging tools based in other languages such as R, Java/Scala, Rust, and Julia. Past events are recorded and can be viewed here (

PyData Ann Arbor strives to be a welcoming and fully inclusive group and we observe the PyData Code of Conduct (

PyData is dedicated to providing a harassment-free meeting experience for everyone, regardless of gender, sexual orientation, gender identity and expression, disability, physical appearance, body size, race, or religion. We do not tolerate harassment of meeting participants in any form.

All communication should be appropriate for a professional audience including people of many different backgrounds. Sexual language and imagery is not appropriate for any conference venue, including talks.

Be kind to others. Do not insult or put down other attendees. Behave professionally. Remember that harassment and sexist, racist, or exclusionary jokes are not appropriate for PyData.

Thank you for helping make this a welcoming, friendly event for all.

PyData is organized by, a 501(c)3 non-profit in the United States.

Members (1,073)

Photos (34)