Machine Learning Community

Get Involved

In order to become an active member of this community, we encourage you to…

  • Introduce yourself in the Data Science Hub’s slack channel, #ml-community. To join join the #ml-community channel, set up an account in the the Data Science Hub Slack Workspace.
  • Tell us about your ML background & needs by filling a brief community member survey.
  • Attend or present at the monthly ML+X forum, where practitioners can share their applications of ML via 10-minute lightning talks (see ML+X below for details).
  • Attend or help teach an ML workshop (see ML Workshops below for details).

ML+X Forum

The ML Community hosts a monthly “ML+X” forum which features lightning talks and group discussions on real-world applications of ML. To help the community pool knowledge, each lightning talk presenter summarizes a specific ML use-case, methods employed, and challenges encountered throughout the project.

Spring 2022 Schedule: The ML+X event typically takes place virtually on the second Tuesday of each month, from 12-1 PM. Spring presentation dates include Feb. 8, March 8, April 12, and May 3. Be sure to join the google group to receive a calendar invite (with Zoom link) and other updates.

Apply To Present!

We encourage anyone who is using ML in their work to present at one of the ML+X events. If you are interested, please fill out this short application form. Presentation dates available are included in the form.

ML Workshops

Curriculum

Please see below for a list of ML-related workshops taught on campus. We will also share upcoming ML workshops opportunities via our mailing list (google group).

  1. Intro to ML in Python (Fall)
  2. Intro to Deep Learning (April, Registration is open!)
  3. Intro to ML with High-Dimensional Data (In Development, Summer)

Request a Workshop

You can increase demand for a specific ML workshop by filling out this brief community member survey. The ML Community’s Organizing Committee will work hard to help offer any workshops that are high in-demand.

Become a Workshop Helper/Instructor

Our ability to offer numerous workshops is made possible only from the hard work of volunteer workshop helpers/instructors. To help the ML Community offer additional workshops in the future, please consider joining our network of workshop volunteers!

If you’re interested in learning more about getting involved with the community of instructors and helpers at UW-Madison, you can visit this page. There are always opportunities to help or teach at a workshop, contribute to new workshop lesson development, or become a certified Carpentries instructor. Learn more here.

ML Consultations

Coding Meetup

Tuesdays and Thursdays, 2:30–4:30 p.m. CT.
The Data Science Hub hosts “Coding Meetups” (office hours) twice a week to help researchers apply data science and machine learning to their research projects. Come to Coding Meetup to ask questions about tools you learn about, how to apply ML tools to your work, troubleshoot coding bugs, or anything else related to your data or code.

To join Coding Meetup, set up an account in the the Data Science Hub Slack Workspace. If you already have an account you can sign in at data-science-hubgroup.slack.com. Once you have set up an account, you can visit the #coding-meetup channel Tues/Thurs, 2:30-4:30pm and post your question there to receive help from one of our volunteer consultants.

For appointments outside of Coding Meetup, please email facilitator [at] datascience.wisc.edu.

Want to Help Advise Others?

We welcome additional helpers at Coding Meetup to assist in answering any data science or ML questions that come up. If you would like a chance to help mentor others, please visit the #coding-meetup channel Tues/Thurs, 2:30-4:30pm. Typically, helpers consult others one-on-one via a brief zoom call.

Join Our Organizing Committee

If you would like to play an active role in steering the development of this community of practice, we encourage you to join our Organizing Committee! The time commitment for this role is 1-2 hours per month and is a great opportunity for those who wish to help make the ML Community a valuable resource for all ML practitioners on campus. You can indicate your interest in joining the Organizing Committee by completing this short community member survey.