The best Data Science newsletters

TheSequence is a publication covering machine learning, AI, and data science, with weekly-style editorial pieces, research deep dives such as recursive self-improvement and learned update rules, and AI industry analysis. Readers get concise explanations of AI research developments, business news, and robotics coverage.

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 weekly newsletter of short, illustrated explainers on core AI, machine learning and data science concepts, such as RAG and supervised versus unsupervised learning. It also includes a weekly news roundup of model releases and research, with practitioner-focused takeaways.

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.

Chris Penn's weekly newsletter covers AI, data science and analytics, mixing a long-form lead essay with plugs for his guides and courses. This issue sample explains open weights models in plain analogies and previews his MAICON 2026 trip.

A multi-part hands-on series on building production-ready LLM agents with LangChain and LangGraph, covering durable state in Postgres, approval expiry, audit logging, and prompt-regression evaluation gates. Readers get concrete code-level walkthroughs of harness controls, verification loops and multi-agent orchestration.

Career and learning guidance for data engineers, written by a practitioner with big tech experience at Netflix and Airbnb. Issues cover promotion strategy from senior to staff, a level-by-level Databricks roadmap, and data warehouse practices.

A weekly curated list of links covering data science, machine learning, AI, data visualization and data engineering. Each issue highlights a few editor's picks, such as tool releases, statistical critiques and data-driven essays, with short excerpts and a sponsor message.

The Cocoons, by Stella and Amy, mixes firsthand cross-cultural reporting, such as a feature on daily life in Afghanistan under the Taliban, with podcasts and essays on AI evaluation and data science. Much of each issue also promotes their paid AI evals course with discount codes.