Short Tails is a data-driven newsletter that uses public and scraped datasets to answer specific questions, such as how subreddits cluster by user overlap, how terrorism trends have changed since 1970, and which colleges give the best earnings-to-debt return. Each issue walks through the method, shows the charts, and draws out what the numbers do and do not say.
Website: https://www.shorttails.io/
DataChef is an Amsterdam big-data consultancy whose blog covers AI adoption in organizations, engineering write-ups of its own product features, and methodology for ranking AI models in Dutch. The excerpts combine opinion pieces on operating models with detailed technical walkthroughs of ranking algorithms and recommender design.
A multi-issue weekly newsletter covering machine learning and AI, including weekly industry roundups, editorials, and deep dives into research topics such as recursive self-improvement. Readers get explanations of new models, research papers, and the business dynamics of the AI industry.
Counting Stuff is a weekly newsletter by a data scientist that blends practical explanations of everyday data science work with personal essays on hobbies and technology. Recent issues cover why LLMs struggle with usable interface design, how data scientists find predictive signal, and how autumn foliage is measured through observation, remote sensing and models.
A practical data-science newsletter from Rad Sports Analytics covering college football rating methods, opponent adjustment, and Python tutorials with reusable resources. Issues walk through building ratings step by step and compare how different team-strength measures disagree.
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