The 50 most sponsor-active Data Science newsletters, ranked by our Newsletter Leader Score.
Weekly curated newsletter covering data science, machine learning, data visualization, analytics, Python, tools, tutorials, and strategy for technical data practitioners.
Long-running data science publication and newsletter covering data science, machine learning, AI, analytics, Python, SQL, and related technologies for practitioners and technical leaders.
A weekly newsletter covering data science, machine learning, AI, data engineering, data visualization, tools, libraries, jobs, tutorials, and notable projects. It serves practitioners and professionals seeking a curated digest of the data e…
Weekly AI and machine learning newsletter covering research, model releases, business developments, policy, careers, and practical implications for AI practitioners and leaders.
Weekly newsletter for data science, machine learning, AI, MLOps, data engineering, courses, events, and practitioner resources. The newsletter is part of a large global learning community and is monetized through multiple sponsorship format…
Weekly AI and machine learning newsletter for practitioners covering major model, tooling, and research developments. It is positioned for AI students and practitioners and has an active sponsorship program.
Technical AI/ML research-news newsletter for practitioners, with an audience that explicitly includes data scientists, ML engineers, data engineers, and related technical roles.
A practitioner-focused newsletter about data engineering, data infrastructure, MLOps, data science, leadership, and the people and processes behind modern data teams.
Weekly newsletter covering data science, machine learning, AI systems, MLOps, data platforms, and practical technology updates. It also promotes Packt workshops, books, and sponsored partner content to technical professionals.
A practical newsletter covering Python, data science, machine learning, data engineering, MLOps, and related developer tools. It delivers concise tips and tool-focused guidance for practicing data professionals.
A recurring Substack on alternative data, AI, data monetization, and analytics themes. It reads as a practitioner newsletter for data and investment-research professionals.
Weekly newsletter covering activity in data, research, and fintech markets, including funding, M&A, people moves, roles, and events.
Curated newsletter covering analytics engineering and its adjacent ecosystem, including modern data stacks, data transformation, data platforms, and AI-enabled analytics.
AI and machine-learning publication covering technical research, model development, AI industry strategy, and educational explainers for practitioners, researchers, and technology decision-makers.
Technical AI and machine-learning newsletter network covering research papers, model releases, frameworks, infrastructure, robotics, and applied AI for developers, researchers, and AI companies.
A technical mathematics and machine-learning newsletter for practitioners and software engineers, emphasizing foundational ML theory, mathematical intuition, and hands-on explainers.
Free weekly email newsletter delivering machine learning tutorials and announcements to a large practitioner audience.
A daily newsletter offering concise, practical explanations of data science, Python, machine learning, LLMs, RAG, and production AI techniques. It is written for professionals and learners who want short, implementation-oriented lessons.
A weekly newsletter curating articles, tutorials, tools, and best practices for production machine learning and MLOps. It covers model monitoring, reproducibility, metadata, DataOps, AIOps, and related engineering topics.
A curated newsletter covering big data, data science, data engineering, tools, trends, and practical technical developments for data practitioners.
Newsletter covering big data, data science, machine learning, AI tools, analytics, and related jobs/news. It appears to monetize actively via sponsorship inventory and media-kit style listings.
A weekly briefing covering curated developments in data science, machine learning, LLM engineering, research, and production AI systems.
Weekly coverage of deep learning and machine learning research, industry developments, MLOps, tutorials, libraries, code, and technical papers for researchers and practitioners.
A practitioner-led Substack focused on data engineering with overlap into data tooling and applied data science workflows.
Weekly technical newsletter for senior data practitioners covering cloud databases, lakehouse platforms, data infrastructure, analytics stacks, and AI data platforms.
Weekly analysis and advice on data science, product analytics, experimentation, SQL, metrics, data storytelling, and building data-informed products.
Weekly curated newsletter covering important artificial intelligence and machine learning news and articles. It is written by ML author Andriy Burkov for readers who want concise technical updates.
A weekly newsletter focused on geospatial careers, data science, machine learning, climate technology, risk modeling, remote sensing, and related research opportunities.
A weekly AI newsletter covering artificial intelligence news, machine learning, robotics, research, tools, and practical developments for technical and professional readers, including data scientists.
A daily intelligence brief for people building, funding, shipping, and regulating AI, with coverage spanning research, models, agents, infrastructure, MLOps, enterprise AI, and policy.
A weekly newsletter blending AI, data science, analytics, marketing technology, and practical experimentation. It is written for marketers, analysts, strategists, and business operators who want applied, data-driven perspectives.
Independent newsletter from Gradient Flow covering data, machine learning, AI, and the business and infrastructure trends around them. It publishes analysis and recommendations aimed at practitioners and technical leaders.
Newsletter for data and analytics professionals covering SQL, analytics careers, AI tools, and practical workflows. It mixes hands-on learning with career guidance for aspiring and working data practitioners.
A technical newsletter about building production-grade ML and AI systems, spanning MLOps, LLMOps, system design, and applied engineering. It has grown into a notable independent publication for practitioners shipping AI products.
Weekly ODSC newsletter delivering tutorials, AI news, jobs, webinars, and community updates for the broader data science ecosystem. ODSC states the flagship newsletter has over 100,000 subscribers.
Weekly newsletter for data scientists focused on staying relevant in the age of AI, with career and technical guidance for practitioners.
A long-running research-focused newsletter analyzing artificial intelligence papers, technical developments, AI safety, policy, and the societal implications of advanced machine learning.
Independent Substack covering machine learning, deep learning, and AI research with code-driven explanations and technical deep dives. Read by a large global audience of researchers and practitioners.
An AI newsletter covering frontier models, post-training methods, open-source model ecosystems, and technical industry analysis. It is written from the perspective of a practitioner inside frontier-model development.
A practitioner-oriented newsletter covering AI, data science, machine learning systems, data platforms, model evaluation, governance, and the business implications of emerging technologies.
A Substack on practical, real-world data science and AI use cases, experimentation, metrics, and product decision-making. It is aimed at practitioners applying data science in business settings.
A newsletter covering data science, data engineering, and data analysis through company case studies, roundups, and practical breakdowns. It is positioned for practitioners who want implementation-oriented lessons from real teams.
Weekly newsletter on data engineering, AI, and data science trends, with practical career and systems content for data practitioners.
Practical newsletter on building, testing, and operating AI systems, workflows, automation, and production ML experiments. It is especially relevant for engineers working at the intersection of data science, MLOps, and AI engineering.
DataCamp’s newsletter publication covering AI and data topics with curated weekly analysis for learners and practitioners.
Career-oriented data newsletter covering analytics, SQL, Python, portfolio projects, stakeholder communication, and beginner-friendly data science explanations.
A long-running community newsletter focused on academic data science, including journalism, papers, tools, jobs, and events. It explicitly offers limited paid advertisement and issue sponsorships.
A monthly email newsletter covering approachable updates in AI and machine learning, curated for developers, students, and startups. It is published by Infinite Red and explicitly offers sponsorships.
Newsletter for machine learning engineers and data scientists focused on NLP, generative AI, ML system design, and production-scale engineering trade-offs. It is aimed at practitioners moving models from prototype to production.
Monthly AI and data science newsletter from the Royal Statistical Society's Data Science and AI Section, covering research, applications, guides, and community updates.
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