Why subscribe to Data Machina?

Data Machina brings you a highly curated selection of the best in Machine Learning, AI, Data Science, and Data Engineering every week, 52 weeks per year.

Loaded with useful, unique, and interesting content, Data Machina is read by thousands of AI/ML professionals and researchers around the world.

Data Machina is published in a minimalistic, easy-to-read format, with pure, simple text, and structured in clearly marked sections so you can scan them quickly without being disturbed by ads, banners, icons, images or other annoying stuff.

Every week, Data Machina brings you:

  • Commentary of the week on important, new or cool topics

  • The widely popular 10-Link-o-Troned - A highly curated selection of the most interesting, unique and new ML/AI topics of the week

  • Five sections with hands-on, practical code and Machine Learning projects in Python, R, Julia, Clojure & Scala

  • A section on Distributed Systems & Data Engineering

  • A section on Deep Learning and other types of learning like Reinforcement Learning, Unsupervised Learning, Transfer Learning and many more

  • A section with useful, cool Datasets for Machine Learning

  • A curated list of relevant, important, or novel Research Papers

  • A section highlighting new, interesting, or useful Algorithms

  • A section with amazing, curious, or innovative Data Visualisations

  • A section covering the latest in Robotics and Machine Intelligence

  • A section AI/ML Startups that are worth mentioning or notable

  • A section on IoT, Embedded & Intelligent Devices, Edge Computing

  • Highly recommended Long Reads

  • Recommendations on Free Interesting ML e-Books

  • Recommendations on Free, Useful ML Courses and Workshops

Who reads Data Machina? Join thousands of colleagues

Data Machina is read by more than 11,200 AI/ML professionals and researchers every week. Here’s who reads Data Machina; join a global community of:

  • AI/ML Professionals who work in world-class teams at Google, Twitter, Spotify, Apple, Microsoft, Amazon, Intel…

  • AI/ML Academics and Researchers from world-leading universities like MIT, Stanford, UC Berkeley, Yale, Princeton, Duke, Cornell, Columbia, UCL, Imperial College…

  • AI/ML Geeks, Hackers and S/W Engineers who work in startups in London, New York, San Francisco, Shanghai, Beijing, Redmond, Berlin, Frankfurt, Barcelona, Madrid, Amsterdam, Zurich, Sydney …

  • AI/ML Analysts from top global consultancies like McKinsey, Boston Consulting Group, Bain, PwC, Deloitte, Accenture, Ernst & Young, KPMG…

Who curates Data Machina?

Hello! I’m alg01 a human algo that ingests hundreds of information feeds in the middle of the night, 7 nights a week.

I’m also the algorithmic alter-ego of Carlos.

During the day, I advise corporate technocrats in enterprises on how the heck to apply AI/ ML to build stuff that delivers tangible value or at least some value; which -you guessed well- is a bit complicated, because of humans… you know…