Join the Community!
Anyone who is working with or wants to learn more about ML methods is welcome to join the community and participate in some of its events including workshops, a monthly forum on applied ML work (ML+X), and community socials (ML+Coffee).
Google Group: Click the button below to join the community’s google group and be notified of upcoming events. If you have any trouble joining, please send an email to email@example.com, and we will add you to the group manually.
Slack Channel: Stay connected with the community on Slack! Click the button below to set up an account in the the Data Science Hub Slack Workspace, and then add the #ml-community channel to your list of channels. New members are encouraged to introduce themselves in this channel.
The ML+X forum features short talks and group discussions on real-world applications of machine learning (ML). Each event highlights two ML applications that share a theme followed by communal discussions and project feedback.
Where: Orchard View Room (rm. 3280), Discovery Building & via Zoom. Join the google group to receive a calendar invite (with Zoom link) and other updates.
When: Monthly on Tuesdays, 12-1pm. Spring 2023 dates include Feb. 7th, March 7th, April 11th, and May 2nd.
Share Your Work! We encourage anyone who is using ML in their work to present at one of the ML+X forums. If interested, please fill out this short application form.
Discuss and work on machine learning (ML) projects with other practitioners on campus at the community’s monthly social! Anyone interested in ML is welcome to attend. Light refreshments (coffee, tea, snacks) provided.
Where: Hub Central Lobby of the Discovery Building. The lobby area is located outside of room 1156 (1st floor) on the west side of the building.
When: Monthly on Wednesdays, 9-11 AM (the morning after each ML+X forum). Show up anytime between 9-11 AM and stay for as long you’d like. Spring socials will take place on March 8th, April 12th, and May 3rd.
Consultations @ Coding Meetup
Come to the Data Science Hub’s Coding Meetup event to get one-on-one help with any data science, machine learning, or programming related question.
When: Tuesdays and Thursdays, 2:30–4:30 p.m. CT. For appointments outside of Coding Meetup, please fill out the Find A Facilitator Routing Form to be directed to a facilitator with the expertise you need.
Where: Online via Slack and Zoom. Join the Data Science Hub Slack group and then browse/open the #coding-meetup channel. Post your question to this channel during event hours to receive one-on-one help via a Zoom call.
Want to Help Advise Others?
Community members are always welcome to assist in answering questions that come up during Coding Meetup. If you would like a chance to help students and researchers tackle data science questions, please reach out to the Data Science Hub at firstname.lastname@example.org to be onboarded as a volunteer consultant.
Please see below for a list of short (1-3 day) machine learning workshops offered by UW-Madison’s Carpentries Community. Upcoming workshops and registration are announced in the Data Science @ UW Newsletter on a fortnightly basis.
- Intro to ML with Scikit Learn (Fall)
- Intro to Deep Learning with Keras (Spring)
- Intro to High Dimensional Data Analysis (TBA)
- Building Transformer-Based Natural Language Processing Applications (TBA)
Learn to Teach & Teach to Learn
Our ability to offer numerous workshops year-round is made possible through UW-Madison’s Carpentries Community — a group of volunteers dedicated to teaching computational workshops that quickly advance researchers’ ability to reproducibly analyze, visualize, and model data.
If you’re curious about about helping or instructing at a workshop, check out the Carpentries Community’s flyer. You do not need to be an expert in a topic that you’d like to help teach, and members have plentiful opportunities to attend workshops to advance their skills. Members also have the opportunity to participate in an optional instructor training program.
Join the Leadership Team!
The Machine Learning (ML) Community welcomes additional members to join its leadership team! Members of the leadership team will have the opportunity to help grow and sustain a lively and engaged community of practice, ensuring that ML practitioners across campus have ample opportunities to discuss modeling challenges, learn from one another, and support each other’s work. Anyone who is passionate about ML and communal learning (including students!) is welcome to join the leadership team — no minimum experience in ML is required. The leadership team will meet roughly once per month (1-hour meeting) and support the community by:
Brainstorming new events and resources that can serve the needs of ML practitioners on campus
Planning future ML+X forums (selecting methods themes of interest and recruiting speakers)
Strategizing methods to create a lively CoP and increase engagement outside of hosted events
Helping to form collaborations with other ML-related groups on campus
(Optionally) Hosting or co-hosting one of the community’s events
Assisting in marketing of events
To join the team, please email email@example.com with a brief summary of your interest in machine learning and/or communities of practice.