Deep Neural Networks (DNNs) are used as a machine learning method for both regression and classification problems. Keras is a high-level, Python interface running on top of multiple neural network libraries, including the popular library TensorFlow. In this workshop, participants will learn how to quickly use the Keras interface to perform nonlinear regression and classification with standard fully-connected DNNs, as well as image classification using Convolutional Neural Networks (CNNs). We will also look […]

People using R for applied research are often not taught basic programming practices such as writing functions, efficient iterative processing, vectorization, and other practices that would make their research far more efficient and reproducible.  Understandably, focus is on basic data manipulation and getting model results.  Unfortunately, this can mean the data isn’t as explored as […]

The CUDA computing platform enables the acceleration of CPU-only applications to run on the world’s fastest massively parallel GPUs. Experience C/C++ application acceleration by: Accelerating CPU-only applications to run their latent parallelism on GPUs Utilizing essential CUDA memory management techniques to optimize accelerated applications Exposing accelerated application potential for concurrency and exploiting it with CUDA […]

The CUDA computing platform enables the acceleration of CPU-only applications to run on the world’s fastest massively parallel GPUs. Experience C/C++ application acceleration by: Accelerating CPU-only applications to run their latent parallelism on GPUs Utilizing essential CUDA memory management techniques to optimize accelerated applications Exposing accelerated application potential for concurrency and exploiting it with CUDA […]

This is a series of workshops designed to introduce participants to the Stata software. No prior experience with Stata is required. The sections are: Section 1: The Basics of Stata - Interacting with Stata. (10/19 2-3:30) Section 2: Working with Data Sets - Importing, opening, and saving data sets. (10/21 2-3:30) Section 3: Data Management […]

This workshop will provide a hands-on exposure to geometrical operations on vector data in QGIS, and will also cover a few basic operations that combine raster and vector data. The workshop will be especially useful for participants with some exposure to GIS (similar to the material covered in the previous workshop). This workshop is virtual. The […]

Mixed models are an extremely useful modeling tool for situations in which there is some dependency among observations in the data, where the correlation typically arises from the observations being clustered in some way. For example, it is quite common to have data in which we have repeated measurements for the units of observation, or […]