– Bayes Rules! An Introduction to Bayesian Modeling with R

– A friendly introduction to machine learning compilers and optimizers

– A History of Polar Area / Coxcomb / Rose charts & how to make them in R’s ggplot2

– A Dataset of Cryptic Crossword Clues

– Survival Analysis: Part I: Basic concepts and first analyses, Part II: Multivariate data analysis – an introduction to concepts and methods, Part III: Multivariate data analysis – choosing a model and assessing its adequacy and fit, Part IV: Further concepts and methods in survival analysis

– Dataviz Accessibility Resources

– RegExplain

– A Succinct Intro to R

– Deep Learning’s Diminishing Returns

– Working with Google Sheets from R

– The Rise of the Pandemic Dashboard

– Predicting FT Trending Topics

– The Art of Linear Algebra: Graphic Notes on “Linear Algebra for Everyone”

– Modeling Possibly Nonlinear Confounders

– ggHoriPlot: build horizon plots in ggplot2

– Finding the Eras of MTV’s The Challenge Through Clustering

– Why data scientists shouldn’t need to know Kubernetes

– Creating a Dataset from an Image in R Markdown using reticulate

– Neural Networks from scratch

– plotDK: Plot Summary Statistics as Choropleth Maps of Danish Administrative Areas

– The Power of Parameterized Reports With Plumber

– Riding tables with {gt} and {gtExtras}

– How to explain gradient boosting

– How to visualize decision trees

– Speech and Language Processing

– Sexy up your logistic regression model with logit dotplots

– AI’s Islamophobia problem

– Possession Is The Puzzle Of Soccer Analytics. These Models Are Trying To Solve It.

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