Students will be introduced to the basics of machine learning using the caret R package.
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April 20, 2016
Ensemble machine learning methods are often used when the true prediction function is not easily approximated by a single algorithm.
Training: Intro to Machine Learning in H2O
April 6, 2016
The focus of this workshop is machine learning using the H2O R and Python packages.
Training: Creating Maps in R
April 29, 2016
This workshop will introduce methods and libraries for mapping spatial data in R.
Training: Programming with Hierarchical Statistical Models: An Intro to the BUGS-compatible NIMBLE system
April 15, 2016
This tutorial will introduce attendees to the NIMBLE system for programming with hierarchical models in R.
Training: R for Data Science: Day 3
March 16, 2016
The R for Data Science workshop series is a four part course, designed to take novices in the R language for statistical computing and produce programmers who are competent in finding, displaying,
Training: R for Data Science: Day 2
March 9, 2016
The R for Data Science workshop series is a four part course, designed to take novices in the R language for statistical computing and produce programmers who are competent in finding, displaying,
Training: R for Data Science: Day 1
March 2, 2016
The R for Data Science workshop series is a four part course, designed to take novices in the R language for statistical computing and produce programmers who are competent in finding, displaying,
Training: Creating Maps in R
February 19, 2016
This workshop will introduce methods and libraries for mapping spatial data in R.
Training: Programming FUN!damentals
February 12, 2016
An intro to the basics that instructors often assume you know, but that you probably never had good instruction on!
