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Machine Learning for Document Topic Modeling In-Person
Overview
This workshop will introduce unsupervised machine learning through topic modeling. Participants will use scikit-learn to identify topic clusters in a collection of documents. Through hands-on programming exercises, we will investigate using ML algorithms such as k-means clustering to 1) categorized documents into different clusters and 2) analyze the voculabulary (words and terms) most frequent in each cluster.
This workshop will take place online over UCSF Zoom. Registered participants will recieve an email through LibCal with connection information the day before the workshop.
Prerequisites
Familiarity with Python.
Instructor
Geoffrey Boushey with the UCSF Library Data Science Initiative
- Date:
- Thursday, Nov 3 2022
- Time:
- 10:00am - 1:00pm
- Time Zone:
- Pacific Time - US & Canada (change)
- Categories:
- Data Science > Programming
Registration has closed.
