Machine Learning Weekly

Machine Learning Weekly

Machine Learning Weekly is a free weekly newsletter featuring curated news, articles, new papers, tutorials, talks, and jobs related to machine learning. It aims to keep readers up-to-date on the latest developments and applications in the field.
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Machine Learning Weekly: Free Newsletter

Curated news, articles, new papers, tutorials, talks, and jobs related to machine learning, aiming to keep readers up-to-date on the latest developments and applications in the field.

What is Machine Learning Weekly?

Machine Learning Weekly is a free weekly newsletter started in 2016 that features curated news, articles, new papers, tutorials, talks, and jobs related to machine learning. It is run by a small team led by Sebastian Ruder and aims to keep readers up-to-date on the latest developments and real-world applications in the fast-moving field of machine learning.

Each Sunday, subscribers receive an email containing hand-picked summaries and commentary on the most relevant and noteworthy machine learning updates from the past week. This includes discoveries from top conferences and journals, open source releases, thought-provoking blog posts, educational materials, and career opportunities.

The succinct, engaging format distills complex topics down to key takeaways while linking out for more details. Whether you're an academic researcher, engineer, student, or simply ML enthusiast, Machine Learning Weekly helps filter overwhelming amounts of information to deliver interesting, accessible, and useful weekly updates.

In addition to the main newsletter, the publication has grown to offer a job board, conference tracker, learning resources, and more for the machine learning community. Its large reach, sound curation, consistency over 7+ years, and non-commercial nature have established Machine Learning Weekly as an invaluable resource for staying up-to-date on machine learning news.

Machine Learning Weekly Features

Features

  1. Curated news articles about machine learning
  2. New machine learning papers and research highlighted
  3. Machine learning tutorials and talks shared
  4. Job listings in machine learning aggregated

Pricing

  • Free

Pros

Free to subscribe

Covers wide range of ML news and resources

Saves time finding relevant ML content

Weekly email keeps you up-to-date easily

Cons

Can receive too many emails if not interested in all content

No customization of topics covered

Limited depth in analysis of research papers

Official Links


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