This workshop will provide an introduction to graphics in R with ggplot2.
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October 28, 2019
It is often said that 80% of data analysis is spent on the process of cleaning and preparing the data. This workshop will introduce tools (notably dplyr and tidyr) that makes data wrangling and man
October 24, 2019
This workshop introduces the basic concepts of Deep Learning - the training and performance evaluation of large neural networks, especially for image classification, natural language processing, an
October 22, 2019
This workshop introduces the basic concepts of Deep Learning - the training and performance evaluation of large neural networks, especially for image classification, natural language processing, an
October 17, 2019
This is a six-hour tutorial on machine learning in R that covers data preprocessing, cross-validation, ordinary least squares regression, lasso, decision trees, random forest, xgboost, a
October 15, 2019
This is a six-hour tutorial on machine learning in R that covers data preprocessing, cross-validation, ordinary least squares regression, lasso, decision trees, random forest, xgboost, a
October 18, 2019
Raster data are used to represent geographic phenomena that are present and can be measured anywhere in a study area, like elevation, temperature, rainfall, land cover, soil type, etc.
Training: Geospatial Data in R: Part 2
October 17, 2019
Geospatial data are an important component of social science and humanities data visualization and analysis.
Training: Geospatial Data in R: Part 1
October 15, 2019
Geospatial data are an important component of social science and humanities data visualization and analysis.
December 11, 2019
The Computational Text Analysis Working Group (CTAWG) features demos, tutorials, and ongoing projects through which we are learning to use an array of computational text analysis approaches includi
