A monthly newsletter offering practical career advice for data professionals, covering topics like prioritization, being taken seriously as a junior data scientist, and structuring open-ended business analyses. Each issue draws on the author's experience leading data science teams to give actionable, hands-on guidance.
Website: https://www.divingintodata.com
A personal technical newsletter from an engineer working through applied machine learning, covering model interpretability, feature engineering and cost-based decision analysis for manufacturing problems. Issues include study notes with glossaries and a worked technical memo with concrete figures and recommendations.
Long-form essays on evaluating and specifying AI systems, drawing on hands-on projects such as a UFC judging model and an evaluation of a new model launch. Readers get practical lessons on labeling, ground truth, build-versus-buy decisions and precise AI terminology.
Tutorials and analysis on college football ratings, using CollegeFootballData data and Python. Readers get walkthroughs of opponent adjustment, rating methodology and comparisons of team-strength measures with code and real 2025 season examples.
A data scientist examines Waterloo Regional Police budget claims using Statistics Canada crime data, showing how cherry-picked two-year comparisons can mislead. The newsletter teaches readers to evaluate trends, volatility and selective data in public policy statistics.
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