SSDA Special Workshop Series II.2.S1: Random Forests on Spatial Data

Tue, May 21, 2019 1:00 PM - Tue, May 21, 2019 4:00 PM at Nisbet Building, Suite 320, Michigan State University

SSDA is excited to announce its special workshop: Random Forests on Spatial Data. While the course will highlight some special aspects of spatial data, anyone with an interest in gaining introductory experience about machine learning and classification will benefit from this course. Learn some basics about working with spatial data, data classification approaches including kmeans and classification trees, and of course random forests, and the standard approach to machine learning through model training and validation. This will be a hands-on workshop with code you can apply to your own projects.

# This is an intermediate R level workshop #

  • Time: 1:00 P.M. - 4:00 P.M., May 21, 2019 (Tuesday)
  • Location: Suite 320, Nisbet building
  • Registration: Registration is now closed
  • Parking: Both meter parking and permit parking available
  • Bring: Please bring your laptop with R installed. Windows users should also install RStudio. Instructions for installation of packages will be provided before the workshop.
  • Welcome to join our SSDA mailing list!

SSDA workshop flyer -- Random Forests on Spatial Data