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The Official Blog of BigML.com

Company blog · blog.bigml.comdataai

The Official Blog of BigML.com is the company blog at blog.bigml.com, writing about data and ai. Since 2012, 16 different Hacker News readers have linked it 170 times, most often “Thousands of Public Data Sources”. It is still writing: the last post was on 2026-03-16, and you can follow it by feed.

Visit the blog
170mentions?
16HN people?
2012–2023first – last linked?
Links on Hacker News per year · peak 43 in 2013

Too few sampled comments (4) to say how often HN recommends it.?

Why HN links it

Commenters link it as a list of open dataset directories and as a post on machine learning without a Coursera course. The comments cite it as a resource rather than judging the writing.

Summarised by Claude from a sample of 4 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

Machine Learning Made Simple

Most-linked posts?

  1. Thousands of Public Data Sources
    4 people · 4 mentions · first linked 2013-02-28
  2. Predicting Stock Swings with PsychSignal, Quandl and BigML
    2 people · 2 mentions · first linked 2014-05-09
  3. Everything You Wanted to Know About Machine Learning, But Were Too Afraid To Ask
    2 people · 2 mentions · first linked 2013-02-15
  4. Democratizing Machine Learning With C#
    2 people · 2 mentions · first linked 2013-03-06
  5. You Don’t Need Coursera to Get Started with Machine Learning
    2 people · 2 mentions · first linked 2013-07-01

What Hacker News says?

  1. A very powerful command line tool for Machine Learning: http://bigmler.readthedocs.org/en/latest/ Create a predictive model is as simple as: bigmler --train < data.csv or create a predictive model for Bitcoin volume taking online data from Quandl and parsing it with jq in just one line. curl --silent " http://www.quandl.com/api/v1/datasets/BITCOIN/BTCDEEUR.json" | jq -c ".data" | bigmler --train --field-attributes <…

    Comment linking /2013/01/31/fly-your-ml-cloud-like-a-kite-with-bigmler-the-command-line-tool-for-machine-learning/

    on “Command-line tools for data science”
  2. Submitted Machine Learning in Python Has Never Been Easier as a story · 266 points

    HN discussion
  3. http://bitly.com/bundles/hmason/1 http://commondatastorage.googleapis.com/books/icdar2007/READ... http://datahub.io/ http://blog.bigml.com/2013/02/28/data-data-data-thousands-of... http://iatiregistry.org/ http://open.undp.org/ http://data.worldbank.org/ https://explore.data.gov/catalog/raw/ http://www.data.gov/opendatasites http://data.gov.be/datasets http://opencorporates.com/ http://glasspockets.org/work/reportin…

    Comment linking /2013/02/28/data-data-data-thousands-of-public-data-sources/

    on “Data sets released by Google”
  4. Submitted Thousands of Public Data Sources as a story · 109 points

    HN discussion
  5. here's some other data hubs/search engines, endless lists: http://datahub.io/ http://blog.bigml.com/2013/02/28/data-data-data-thousands-of... http://tm.durusau.net/?p=39312 http://dvn.iq.harvard.edu/dvn/ _____________ this subreddit seems like a decent place to ask questions http://www.reddit.com/r/datasets

    Comment linking /2013/02/28/data-data-data-thousands-of-public-data-sources/

    on “Data sets released by Google”
  6. Submitted A command-line tool for Machine Learning as a story · 30 points

    HN discussion
  7. most people don't really think logically or quantitatively. whatever math people learned in high school and college was forgotten when trying to make adult decisions. and they didn't even get to the good stuff. data science is successful now because they are applying quantitative methods to the social sciences -- problems most people think about. the average educated person can understand by using the magic of "mach…

    Comment linking /2013/03/06/democratizing-machine-learning-with-c/

    on “Nate Silver to would-be data scientists: Don’t sweat the degree, do the work”
  8. Submitted Image Processing: The Simple and the Complex as a story · 14 points

    HN discussion
  9. So basically to get 93%(in average) of the value of machine learning, you can use bigml's extremely easy interface[1], even without writing code ? [1] http://blog.bigml.com/2013/07/01/you-dont-need-coursera-to-g...

    Comment linking /2013/07/01/you-dont-need-coursera-to-get-started-with-machine-learning/

    on “Do We Need Hundreds of Classifiers to Solve Real World Classification Problems? [pdf]”
  10. Submitted Everything You Wanted to Know About Machine Learning, But Were Too Afraid To Ask as a story · 12 points

    HN discussion
  11. Submitted Introducing BigML’s Free Machine Learning Sandbox. as a story · 10 points

    HN discussion
  12. Submitted Logistic Regressions: The 6 Steps to Predictions as a story · 9 points

    HN discussion
  13. Submitted What makes BigML Image Processing different as a story · 8 points

    HN discussion
  14. Submitted Sunburst Trees: a thousand times more intuitive than decision trees as a story · 8 points

    HN discussion
  15. Submitted A New Way to Visualize Decision Trees as a story · 8 points

    HN discussion
  16. Submitted The World’s First Automated Early Stage Investing Platform as a story · 7 points

    HN discussion
  17. Submitted Using Machine Learning to Detect Offensive Graffiti in San Francisco as a story · 7 points

    HN discussion
  18. Submitted Machine Learning on Rails with Ruby as a story · 7 points

    HN discussion
  19. Submitted 10 Offbeat Predictions for Machine Learning in 2017 as a story · 6 points

    HN discussion
  20. Submitted Data Preparation for Machine Learning using MySQL as a story · 6 points

    HN discussion
  21. Submitted BigML is now open for business as a story · 6 points

    HN discussion
  22. Submitted BigML Acquires Best-Of-Class Association Discovery Technology ‘Magnum Opus’ as a story · 5 points

    HN discussion
  23. Submitted Did Germany Cheat in World Cup 2014? as a story · 5 points

    HN discussion
  24. Submitted Streaming Histograms for Clojure and Java as a story · 5 points

    HN discussion
  25. Submitted Machine Learning in Action: Interactive Model Gallery as a story · 5 points

    HN discussion
  26. Submitted Beautiful Decisions: Inside BigML's Decision Trees as a story · 5 points

    HN discussion
  27. Submitted Object Detection: Some Gory Details as a story · 4 points

    HN discussion
  28. Submitted Predicting the 2018 Oscar Winners as a story · 4 points

    HN discussion
  29. Submitted Advice to a Young “Data Scientist” (Part 1) as a story · 4 points

    HN discussion
  30. Submitted BigML Opening New Lab in Valencia to Harness Innovation and Drive European Exp as a story · 4 points

    HN discussion

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