20+ Must-Subscribe Data and AI Newsletters in 2021 | by Benedict Neo | Towards Data Science

There’s an ocean of noise on the internet for data science and AI that it can be overwhelming to focus on good quality news and content.
As Herbert A. Simon says:
“...a wealth of information creates a poverty of attention...”
The solution to information overload?
Newsletters.
If you’re someone who wants to keep up with the industry, and are looking for the best newsletters to do so, then you’re in luck.
Below are 20+ reputable and content-rich newsletters that range from the latest news and opinions to the best tools, resources, and tutorials.
Categories of these newsletters:- Data Science - Data Engineering- Machine Learning- Artificial Intelligence
I’ve also linked the archives for each newsletter, so feel free to check them out before subscribing to make sure they suit your needs. Enjoy!
A comprehensive monthly newsletter by bitgrit.net with their latest AI competitions, workshops, technical articles and tutorial, AI news, and Data Science learning resources.
Read the latest issues & subscribe here.
Curated weekly by Lon Reisberg, data elixir is one of the most popular data science newsletters that bring you insight, tutorials, projects & opinions, and resources.
Read past issues & subscribe here.
A free weekly newsletter featuring curated news, articles, and jobs related to Data Science.
Read past issues & subscribe here.
A collection of the best and latest articles, papers, courses, interviews, podcasts, videos, datasets, events, books, and jobs on ML, DL, Computer Vision, NLP, Data Science, Robotics, and other aspects of AI.
Read past issues & subscribe here.
KDnuggets, a leading site on Machine Learning, Data Science, AI, and more, compiles their featured stories, tutorials and overviews, opinions, top stories, and open jobs every week.
Read past issues & subscribe here.
A perfect blend of the most up to date information and sources on what’s hot in the data world
Read the sample issue & subscribe here.
A weekly email about data, data science, and analytics, curated by the team at Mode.
Read past issues & subscribe here
Stay up to date with AI & Data Science by reading top-notch articles delivered straight to your inbox each weekday
Read the latest issues & subscribe here
Curated by Christophe, a Data Engineering Lead and Coach, Data news is a weekly curation of news and tools related to data engineering.
Read past issues & subscribe here.
Curated by Ananth Packkildurai, this is a weekly data engineering newsletter that features the latest trend and news in the data engineering world.
Read past issues & subscribe here.
A newsletter that keeps you updated with articles on core data engineering concepts, in-demand software and tools, and tips for growing your data engineering career every one to two weeks.
Read all the articles & subscribe here.
Stay informed on the latest trending ML papers with code, research developments, libraries, methods, and datasets.
Read past issues & subscribe here.
Receive curated articles, tutorials, and blog posts from experienced Machine Learning professionals. Obtain insights on best practices, tools, and techniques in machine learning explainability, reproducibility, model evaluation, feature analysis, and beyond.
Read past issues & subscribe here.
Get articles on effective data science, ML in production, and career growth, three interesting things Eugene, Applied Scientist at Amazon, is reading and informal sharing & chats.
Read past issues & subscribe here.
Crafted by Daniel Bourke, ML monthly keeps you up to date with the Machine Learning industry. The fastest-growing monthly newsletter for Machine Learning Engineers.
Read past issues & subscribe here.
Get the latest breakthroughs in Machine Learning. They use AI to analyze 1000+ research papers and articles every week to provide you with the most popular summary in the industry.
Read past issues & subscribe here.
The popular blog with tons of helpful machine learning tutorials has a newsletter to get updates on the latest machine learning tutorials.
Subscribe here.
Curated by Nihit Desai and Rishabh Bhargava, this newsletter aims to explore what it means to develop software 2.0 and the new challenges that arise. They share their views on how to write better Software 2.0.
Read the latest issues & subscribe here.
Every week, the Batch presents the most important AI events and perspectives in a curated, easy-to-read report for engineers, enthusiasts, and business leaders, as well as a personal note from Andrew Ng.
Read past issues & subscribe here.
A weekly newsletter about artificial intelligence, read by more than ten thousand experts.
Read past issues & subscribe here.
A weekly collection of AI News and resources on Artificial Intelligence and Machine Learning. For free.
Read past issues & subscribe here.
Andriy Burkov, author of The Hundred-Page Machine Learning Book and the Machine Learning Engineering book, presents his newsletter with the most important artificial intelligence and machine learning news and articles.
Read the latest issue and subscribe here.
The summary of the last research papers, cool tech releases, and investments in AI to keep you up-to-date without hassle. It’s a bite-sized newsletter; in 5 minutes, you get enough to be smart about the currents of the AI world.
Read past issues and subscribe here.
Weekly summaries of AI news, straight to your inbox! Plus occasional articles, interviews, and more. Run by a couple of graduate students as a hobby, so don’t worry about marketing or the like.
Read past issues and subscribe here.
Monthly analysis of AI technology, geopolitics, research, and startups.
Read past issues & subscribe here.
A weekly newsletter by Louis Bouchard, creator of the channel What’s AI, who shares one paper per week, contain everything about the paper plus some bonus projects he is working on.
Read past issues & subscribe here.
That’s all the newsletters I have for you. Thank you for reading!
If you have any suggestions or additions, feel free to leave a comment below!
Connect with me on LinkedIn for daily resources on Data Science.
Follow the bitgrit Data Science Publication, where I write data science and ML tutorials.