ISSUE 350 · August 24, 2021
In the News
How big data carried graph theory to new dimensions
Researchers are turning to the mathematics of higher-order interactions to better model the complex connections within their data.
Quanta Magazine | Stephen Ornes
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Tutorials, Projects & Opinions
Exploring R² and regression variance with Euler/Venn diagrams
Great post that uses Euler and Venn diagrams to explain R² and shared variation in regression models. This is a very intuitive approach!
Andrew Heiss
ML Explained in 5 Levels of Difficulty
If you're new to the field or need a good way to explain the work you do, this is a great ML explainer video by Hilary Mason. Hilary is a well-known data scientist who has been on the founding team of several ML startups. In this video, she explains machine learning to 5 different people: a child, a teen, a college student, a grad student and an expert.
Wired | Hilary Mason
Nearest Neighbor Indexes for Similarity Search
Nice introduction to similarity search, including and an overview and comparison of key options.
Pinecone | James Briggs
Pitfalls in Machine Learning Research: Reexamining the Development Cycle
Machine learning tends to be hindered by an ad hoc design process, poor data hygiene, and a lack of statistical rigor in model evaluation. This paper explores common pitfalls, case studies, and offers practical recommendations for improvements.
arXiv | Stella Biderman, Walter J. Scheirer
Patterns in confusing explanations
Clear writing is a superpower but it can be a LOT of work. In this post, Julia Evans helps simplify the process by identifying common patterns of unclear writing and suggesting examples of what to do instead.
Julia Evans
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Resources
RStudio Cheatsheets
These cheatsheets for a variety of R packages have recently been updated to include the latest features. Covers dplyr, ggplot2, lubridate, forcats, reticulate, the RStudio IDE, Shiny, and stringr.
RStudio Blog | Averi Perny
Data Visualization
Visualizing ordinal variables
Ordinal variables aren't numeric and they’re not categorical, which makes them hard to make sense of. This post explores why they're so tricky and ways to approach them.
Octavio Medina
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