Instructor: Daniel Carter

Wednesday, May 15, 1:30-5pm

Description

This workshop will introduce students to two broad forms of computational data analysis: machine learning and social network analysis. Along the way, we’ll focus on giving students a basic exposure to computational programming environments, the choices and assumptions behind various computational techniques and the ways data analysis can fit into the larger research process.

As we begin, please download the files for this workshop.

Outline

• Introduction
• Machine Learning
  • Unsupervised Techniques: Topic Modeling
  • Supervised Techniques: SVM Classifiers
• Social Network Analysis