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X-WR-TIMEZONE:America/Los_Angeles
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BEGIN:VEVENT
DTSTART:20250530T160000Z
DTEND:20250530T180000Z
DTSTAMP:20250530T000000Z
SUMMARY:Machine Learning for Document Classification and Sentiment Analysis
DESCRIPTION:Building on the skills from the previous workshops\, this 
 session will extend your understanding of machine learning\, focusing on 
 document classification and sentiment analysis. You’ll apply techniques 
 like Random Forests and feature importance to analyze text data\, including 
 real-world examples such as classifying documents or determining sentiment 
 from textual content. Using scikit-learn\, you’ll learn how to process 
 text data\, extract features\, and build predictive models for analyzing 
 and categorizing text. This workshop provides a practical approach to 
 applying machine learning to text-based problems\, further developing your 
 NLP capabilities.\n\nNote: This workshop will be offered in person at the 
 UCSF FAMRI Library at Mission Bay and online through UCSF Zoom. You will 
 receive an email from LibCal with room information and Zoom link prior to 
 the start of the workshop. \n\n \n\nWorkshop Series: Data and Document 
 Analysis with Python\, SQL\, and AI\n\nThis series is designed for 
 researchers\, staff\, and students who want to learn Python from the ground 
 up\, focusing on data analysis\, document analysis\, and AI-based research. 
 Throughout the workshops\, we’ll dive into various data types—including 
 numerical data\, health data\, text\, and images/videos—and explore 
 analysis techniques like regression\, classification\, and sentiment 
 analysis. We’ll put a particular focus on text analysis\, especially 
 analyzing documents from our industry document library.\n\nAs programming 
 evolves\, so does the way we learn it. While we’ll introduce AI-assisted 
 programming earlier in the series than in past workshop series\, we’ll 
 still start with the basics. The early workshops (Intro to Python Parts 1 & 
 2 and Intro to SQL) will use AI sparingly. As the series moves forward\, 
 we’ll dive into topics like web APIs\, text analysis\, natural language 
 processing\, machine learning\, regression\, document analysis\, and AI 
 system interaction\, with more AI-driven techniques along the way.\n \n\n
LOCATION:Virtual\, Online
ORGANIZER;CN="Geoffrey Boushey":MAILTO:Geoffrey.Boushey@ucsf.edu
CATEGORIES:Data Science, Programming
CONTACT;CN="Geoffrey Boushey":MAILTO:Geoffrey.Boushey@ucsf.edu
STATUS:CONFIRMED
UID:LibCal-14212637
URL:https://calendars.library.ucsf.edu/event/14212637
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