Data Analysis with R for Educators
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This webinar series is an orientation to R. We start with an overview of R’s history and place in the larger data science ecosystem. Next, we introduce the R Studio user interface and how to access R’s excellent documentation. Finally, we present the fundamental concepts you need to use the R environment and language for data analysis. Along the way, we compare R script files (.R) to R Notebook (.Rmd) files and show how the features of R Notebook support better communication and encourage more dynamic engagement with statistical analysis and code. It is helpful to be familiar with tabular data analysis using statistical software, database tools, or spreadsheet programs.
Workshop materials, including setup directions and slides are available at https://github.com/CornellCAC/r_for_edu/ The Rstudio Cloud project used in the workshop is https://rstudio.cloud/project/4044219.
Natural Language Processing with Deep Learning
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CS244N is a renowned natural language processing course offered by Stanford University and taught by Christopher Manning. It covers a wide range of topics in NLP, including language modeling, machine translation, sentiment analysis, and more. It teaches both foundational concepts and cutting-edge research to gain a comprehensive understanding of NLP techniques and applications.
WRF in the Public Cloud
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CAC summer student employee Jeff Lantz describes his experiences in running the WRF weather forecasting application in the public cloud. He compares the major cloud providers and some container-based deployment technologies that are available on each, with a particular emphasis on Docker and Kubernetes. Since WRF is a computationally intensive numerical simulation, Jeff had to pay special attention to certain HPC characteristics of the code, such as the need to launch multiple communicating MPI processes on one or more cloud instances, and the need to set up an NFS file server to satisfy I/O requirements.