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Intro to Machine Learning, Classification and Regression Trees

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
Michele Claibourn

Thank you for registering for a Research Data Services worskhop!