Stars on bars, detailed Transformers, and gorgeous cross-validation.

Week 30-2023 [Issue 1.0]

Welcome to The Repo! 🚀
Each week, I'll curate three gems from the data science community:

🗄️ Re: Remarkable Repository

💻 P: Prolific Programmer

🏢 O: Outstanding Organization

I hope you find them as valuable and insightful as I do.
You can find all recommendations in the GitHub repository at finnoh/repo!

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const-ae/ggsignif

🗄️ Repository | Adding significance levels in your ggplot boxplots

A nice addition to your next visualizations in R, if you are interested in reporting (statistically) significant differences between groups. Neat.

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Lilian Weng

💻 Programmer | In-depth, technical, explanations of LLMs and Transformers

Lilian Weng is the Head of Safety Systems at OpenAI and her blog Lil’Log provides many exciting, long-form, and in-depth articles on deep learning. Her post The Transformer Family Version 2.0 is a super-rich resource for understanding Transformer models and the math behind them. It is a great read for a sunny afternoon.

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Machine Learning University

🏢 Organization | Graphical explanations of various machine learning topics

The Machine Learning University is an initiative by Amazon and provides articles on various machine learning topics. I am reluctant to call them “articles” as they are more like self-paced presentations, with many visualizations in-between short and concise explanations. Nevertheless, a fantastic resource for self-study and use in teaching.

So far, you can find articles on e.g.

• Neural Networks

• Regression

• ROC & AUC

• Reinforcement Learning

• Random Forests

…

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