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

Week 30-2023 [Issue 1.0]

Finn
Aug 10, 2023
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Stars on bars, detailed Transformers, and gorgeous cross-validation.

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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!


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.

ggplot2 Boxplot with the significance level brackets from ggsignif

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.


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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