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ML+X Presenter Application — Fall 2022-23
The goal of the monthly ML+X event is to allow researchers across different domains to unite based on common machine learning (ML) methodologies. The event features a series of short talks and group discussions on real-world applications of machine learning. Anyone who is applying machine learning in their work is welcome to present — especially students. Please see this google doc to review the methods-related questions that each talk should address:
https://go.wisc.edu/kwa6tj
This event is hosted by the ML Community (
https://datascience.wisc.edu/ml-community/
). The ML Community has a google group it uses to send reminders about its upcoming events. If you aren't already a member of the google group, you can use this link to join:
https://groups.google.com/a/g-groups.wisc.edu/forum/?authuser=0#!forum/ml-community-of-practice/join
If you have any questions, please send an email to Chris Endemann (
endemann@wisc.edu
).
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* Indicates required question
Email
*
Your email
Name
*
Your answer
Email
*
Your answer
Please select each of the below ML topics that are relevant to your presentation.
*
Regression
Time-Series Forecasting
Supervised Classification
Semi-Supervised ML
Clustering / Unsupervised Learning
Computer Vision / Image Analysis
Decision Trees
Natural Language Processing
Transformer Models
High-Dimensional Data Analysis
Ethical Issues of ML (e.g., Algorithmic Bias, Privacy Concerns, Black Box Models, etc.)
Ensemble Methods
GANs
Recurrent Neural Networks
Deep Learning
Reinforcement Learning
Other:
Required
If you had to pick one overarching methods theme (e.g., deep learning, regression, computer vision, transformer models, etc.) to describe this project, which theme would you pick?
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Your answer
Which day(s) are you currently available to present?
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Presentations take place on Tuesdays from 12-1 PM. Aside from October's event (virtual only), all events will be hosted in a hybrid format (zoom and in-person) in the Orchard View room inside the Discovery Building. Presenters may present via Zoom or in-person — whichever they prefer.
Please be sure to select as many presentation dates as your schedule allows so that we can group together presentations that share a similar methods theme.
September 13 — Virtual & In-Person
October 4 — Virtual Only
November 1 — Virtual & In-Person
December 6 — Virtual & In-Person
Required
Did you use any high-throughput computing tools (e.g. CHTC, AWS, Google Cloud) for this project?
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No
Yes - CHTC
Yes - AWS
Yes - Google Cloud
Other:
Please list three software/ML tools that were vital to this project.
*
Your answer
Please provide a tentative title for your presentation.
*
Your answer
This event is hosted by the ML Community (
https://datascience.wisc.edu/ml-community/
). The ML Community has a google group it uses to send reminders about its upcoming events. If you aren't already a member of the google group, you can use this link to join:
https://groups.google.com/a/g-groups.wisc.edu/forum/?authuser=0#!forum/ml-community-of-practice/join
*
I am already a member of the google group
I just joined via the link provided
I'm having difficulty joining — please add me using the email I provided in this form
Other:
Additional comments
Is there anything else you'd like the event organizers to know?
Your answer
A copy of your responses will be emailed to the address you provided.
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