Optimizing research with GPUs on Hoffman2

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This workshop caters to computing professionals and researchers eager to push the boundaries of high-performance computing using GPUs. Tailored for an audience that ranges from novices to experienced users, the workshop covers the essentials of GPU computing, with a special focus on leveraging these powerful processors within Python and R environments as well as other...
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R Graphics: Introduction to ggplot2

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This seminar teaches the “grammar” of graphics that underlies the ggplot2 package, allowing the user to build eye-catching, publication-quality graphics layer-by-layer. We will cover the basic elements of the grammar of graphics, including aesthetics, geoms, scales, and themes, and we will show you how easy ggplot2 makes it to integrate these elements to make informative...
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Cloud Computing Workshops: Build your own HPC cluster on the cloud

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Cloud computing service enables users to access various computing resources such as applications, storage, databases, and even machine learning. This workshop will cover how to create your own high-performance computing cluster with a job scheduler on the cloud service, based on the knowledge of compute instance and storage. By doing this, the users can run...
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High Performance Python for Data Analytics (2)

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While Python has been the most popular programming language since 2019, data scientists often critique its slow speed and limited capabilities in handling big data scenarios. In this workshop series, we'll tackle how to enhance Python's performance in data science by diving deep into its workings and leveraging technologies to transform Python into an effective...
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Applies Survey Data Analysis in SPSS

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The workshop will introduce the basic concepts and elements necessary to analyze data collected via a complex sampling design. The workshop will use SPSS Complex Samples to conduct descriptive analyses. Examples of subpopulation analyses will be given, as well as examples of linear and logistic regression models. Instructor: Christine Wells Register via Zoom

Analysis and Visualization of interactions in R

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In regression, we are often interested in an interaction, which is the modification or moderation of the effect of an independent variable by another. Understanding interactions involves interpreting the regression coefficients, estimating and testing simple effects and their differences, and visualizing the interaction. This workshop will teach you how to do all of these thing...
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