Events

  • Introduction to Deep Neural Networks with Keras/TensorFlow

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    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 […]

    R Series II: Programming

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    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 […]

    Fundamentals of Accelerated Computing with CUDA C/C++

    Zoom Event

    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 […]

    Fundamentals of Accelerated Computing with CUDA C/C++

    Your Desktop

    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 […]

    Stata: The Basics of Stata

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    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 […]

    QGIS-II

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    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 […]

    Mixed Models with R

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    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 […]