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Long List of Learning Resources a.k.a. L3R

This repo contains list of resources, that I found interesting and relevant, for various academic topics. The list is intentionally not hyper-organized so that it is simple to update.

Quarto Resources

Resource Link
Markdown Basics https://quarto.org/docs/authoring/markdown-basics.html
Hello Quarto https://github.com/mine-cetinkaya-rundel/hello-quarto
VSCode https://quarto.org/docs/get-started/hello/vscode.html
Program Evaluation for Public Service (Course Website) https://evalf22.classes.andrewheiss.com/
Program Evaluation for Public Service (Code for the website) https://github.com/andrewheiss/evalf22.classes.andrewheiss.com/tree/main/slides
Making slides with Quarto in reveal.js; Streamlining with R https://meghan.rbind.io/blog/quarto-slides/ https://meghan.rbind.io/slides/neair/neair.html#/title-slide
Code for “Streamlining with R” https://github.com/meghall06/personal-website/blob/master/static/slides/NEAIR/NEAIR.qmd
Simple presentation https://github.com/jmablog/simple-presentations-generator/blob/main/Example-Output/Example-Output.pdf
Code for dagstat2022 talk https://github.com/mine-cetinkaya-rundel/tidyperspective/blob/main/talks/dagstat-2022.qmd
Quarto Python Virtual Environments https://quarto.org/docs/projects/virtual-environments.html

Examples

Spark

https://aws.amazon.com/blogs/machine-learning/perform-interactive-data-engineering-and-data-science-workflows-from-amazon-sagemaker-studio-notebooks/

Dask

https://gist.github.com/jacobtomlinson/ee5ba79228e42bcc9975faf0179c3d1a

https://towardsdatascience.com/bootstrapping-dask-on-1000-cores-with-aws-fargate-1e1b7fd1a32c

https://github.com/aws-samples/aws-sagemaker-fargate-dask/blob/main/dask-ml-intro-blog

https://aws.amazon.com/blogs/machine-learning/machine-learning-on-distributed-dask-using-amazon-sagemaker-and-aws-fargate/

Ray

https://aws.amazon.com/blogs/opensource/scaling-ai-and-machine-learning-workloads-with-ray-on-aws/

Data Science on the Cloud

Data Science on the Google Cloud Platform

Data Science on AWS, GitHub Repo to go along with the book.

Linear Algebra

Graphic Notes on Linear Algebra for Everyone

https://web.mit.edu/14.102/www/notes/lecturenotes0927.pdf

GitHub

https://docs.github.com/en/codespaces/getting-started/quickstart

Cultural Enrichment

The Cathedral and the Bazaar

Code smells for machine learning applications

Code smells and feels by Jenny Bryan

ANLY-502

https://s3.console.aws.amazon.com/s3/buckets/bigdatateaching?region=us-east-1&tab=objects

https://marckvaisman.georgetown.domains/anly502/

https://aa1603.georgetown.domains/

CNDLS

cndls@georgetown.edu

https://georgetown.az1.qualtrics.com/

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