A newsletter with short, practical lessons on data science, machine learning and LLM engineering, including agents, inference engines and RAG. Issues mix visual explainers, benchmarks and tool walkthroughs, some of them sponsored or promotional.
Website: https://blog.dailydoseofds.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 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.
One short email a week with hand-picked newsletters from the index. Free, no spam, unsubscribe anytime.
