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Introduction to Machine Learning Workshop
November 30 @ 9:30 am - 10:30 am
Who: New or prospective machine learning researchers
What: An introduction to common steps in a research workflow to start with a new dataset and end up with a trained and assessed machine learning model. We’ll introduce ideas for data cleaning, featurization, a common first model to try (random forests), model assessment, optimization, and making predictions. The activity will use scikit-learn as the primary ML software package, and is entirely cloud based so you do not need to do any prep to install anything before or during the activity. If you’d like to preview the content or work through independently you can find the resource hosted on Nanohub at the link below.
When: Nov. 30th at 9:30 am central time. The planned introductory presentation will take ~15 minutes.
Where: Remote via Zoom. We’ll create a breakout room for workshop specific attendees to separate out from general drop-in questions during the normal help-desk session.