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Intro to Machine Learning, Classification and Regression Trees
This workshop introduces the basics of machine learning theory to applied researchers, emphasizing tree-based methods. Tree-based methods allow you to create “decision trees” out of your data. Two common applications of decision trees are classifying a species of plant based on measurements and visual cues, and determining an appropriate medical action based on symptoms and vital signs. In this workshop we’ll show you how to use R to build and interpret regression and classification trees, and how to improve their predictive performance. While knowledge of R will be helpful it is not required.
- Date:
- Thursday, March 3, 2016
- Time:
- 2:30pm - 4:00pm
- Location:
- Brown Library 133 (Clark Hall)
- Campus:
- Brown Science & Engineering
- Categories:
- StatLab Series Computation Series
- Presenter:
- Clay Ford
Registration has closed.
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The UVA Library is committed to hosting library events that are inclusive and welcoming to all. If you need certain accommodations to participate fully in this event, please contact libevents@virginia.edu.
Event Organizer
Clay Ford