Event box

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:
Friday, Nov 4 2022
Time:
10:00am - 1:00pm
Time Zone:
Pacific Time - US & Canada (change)
Categories:
  Data Science Initiative > Programming  

Registration is required. There are 26 seats available.

Event Organizer

Profile photo of Geoffrey Boushey
Geoffrey Boushey