The Best Articles in Machine Learning

The most useful articles in Machine Learning from around the web—beginners to advanced—curated by thought leaders and our community. We focus on timeless pieces and update the list whenever we discover new, must-read articles or videos—make sure to bookmark and revisit this page.

On this page

Top 5 Machine Learning Articles

At a glance: these are the articles that have been most read, shared, and saved in Machine Learning by Refind users in 2023 so far.

  1. What Is ChatGPT Doing … and Why Does It Work?
  2. Machine learning could vastly speed up the search for new metals
  3. Free AI for Beginners Course
  4. Why Meta’s latest large language model only survived three days online
  5. Intercom on Product: How ChatGPT changed everything


Watch a video to get a quick overview.

What is ...?

New to Machine Learning? These articles make an excellent introduction.

How to ...?

Short Articles

Short on time? Check out these useful short articles in Machine Learning—all under 10 minutes.

Long Articles

These are some of the most-read long-form articles in Machine Learning.

Related Topics

Thought Leaders

We monitor hundreds of thought leaders, influencers, and newsletters in Machine Learning, including:

Andrew Ng profile image

Andrew Ng

Co-Founder of Coursera; Stanford CS adjunct faculty. Former head of Baidu AI Group/Google Brain. #ai #machinelearning, #deeplearning #MOOCs

Hilary Mason profile image

Hilary Mason

Co-Founder of @HiddenDoorCo. Formerly Founder of @FastForwardLabs (acquired by @Cloudera). I ♥ data and cheeseburgers. She/her.

Demis Hassabis profile image

Demis Hassabis

Co-founder & CEO Google DeepMind - working on AGI. Trying to understand the fundamental nature of reality. Also revolutionising drug discovery @IsomorphicLabs

Kirk Borne #AlteryxInspire profile image

Kirk Borne #AlteryxInspire

Advisor to startups. Freelancer. Global Speaker. Founder @LeadershipData. Top influencer in #BigData #DataScience #AI #IoT #ML #B2B. PhD Astrophysics @Caltech


We monitor hundreds of publications, blogs, newsletters, and news sources in Machine Learning, including:

MIT Technology Review profile image

MIT Technology Review

Our in-depth reporting on innovation reveals and explains what’s really happening now to help you know what’s coming next.

Quanta Magazine profile image

Quanta Magazine

Big ideas in science and math. Because you want to know more. Launched by @SimonsFdn. 2022 Pulitzer Prize in Explanatory Reporting.

KDnuggets profile image


KD stands for Knowledge Discovery. Covering #DataScience #MachineLearning #AI #Analytics. Edited by @mattmayo13. Founded by Gregory Piatetsky-Shapiro.

What is Refind?

Every day Refind picks the most relevant links from around the web for you. Picking only a handful of links means focusing on what’s relevant and useful. We favor timeless pieces—links with long shelf-lives, articles that are still relevant one month, one year, or even ten years from now. These lists of the best resources on any topic are the result of years of careful curation.

How does Refind curate?

It’s a mix of human and algorithmic curation, following a number of steps:

  1. We monitor 10k+ sources and 1k+ thought leaders on hundreds of topics—publications, blogs, news sites, newsletters, Substack, Medium, Twitter, etc.
  2. In addition, our users save links from around the web using our Save buttons and our extensions.
  3. Our algorithm processes 100k+ new links every day and uses external signals to find the most relevant ones, focusing on timeless pieces.
  4. Our community of active users gets the most relevant links every day, tailored to their interests. They provide feedback via implicit and explicit signals: open, read, listen, share, mark as read, read later, «More/less like this», etc.
  5. Our algorithm uses these internal signals to refine the selection.
  6. In addition, we have expert curators who manually curate niche topics.

The result: lists of the best and most useful articles on hundreds of topics.

How does Refind detect «timeless» pieces?

We focus on pieces with long shelf-lives—not news. We determine «timelessness» via a number of metrics, for example, the consumption pattern of links over time.

How many sources does Refind monitor?

We monitor 10k+ content sources on hundreds of topics—publications, blogs, news sites, newsletters, Substack, Medium, Twitter, etc.

Which sources does Refind monitor in Machine Learning?

We monitor hundreds of sources in Machine Learning, including MIT Technology Review, Quanta Magazine, KDnuggets, MIT Sloan School of Management, Massachusetts Institute of Technology (MIT), and many more.

Who are the thought leaders in Machine Learning?

We follow dozens of thought leaders in Machine Learning, including Andrew Ng, Hilary Mason, Demis Hassabis, The Gradient (, Kirk Borne #AlteryxInspire.

Missing a thought leader? Submit them here

Can I submit a link?

Indirectly, by using Refind and saving links from outside (e.g., via our extensions).

How can I report a problem?

When you’re logged-in, you can flag any link via the «More» (...) menu. You can also report problems via email to

Who uses Refind?

200k+ smart people start their day with Refind. To learn something new. To get inspired. To move forward. Our apps have a 4.9/5 rating.

Is Refind free?

Yes, it’s free!

How can I sign up?

Head over to our homepage and sign up by email or with your Twitter or Google account.