Work in progress: 181,232 of 181,233 sites checked so far, more every week · updated 2 Nov 2026Missing a blog? Tell us

Top all-time · #7722

B

blog.smellthedata.com

Personal blog · blog.smellthedata.comdatamath

blog.smellthedata.com is a personal blog at blog.smellthedata.com about data and math. Since 2009, 10 different Hacker News readers have linked it 37 times, most often “Using Machine Learning to Predict March Madness Results”. No feed was found, so read it on the site itself.

37mentions?
10HN people?
2009–2013first – last linked?
Links on Hacker News per year · peak 13 in 2010

Too few sampled comments (2) to say how often HN recommends it.?

Why HN links it

HN readers link this blog for statistical analysis of data: a critique of a poll, and a March Madness prediction model built on about 5,000 games of season scores.

Summarised by Claude from a sample of 2 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

Most-linked posts?

  1. Using Machine Learning to Predict March Madness Results
    2 people · 2 mentions · first linked 2009-03-19
  2. Analysis of Nate Silver's Analysis of Oklahoma Student Poll Pollster Fraud
    2 people · 2 mentions · first linked 2009-09-27

What Hacker News says?

  1. A few memories of Sam from a Toronto machine learning student: http://blog.smellthedata.com/2010/01/sam.html

    Comment linking /2010/01/sam.html

    on “Researcher Sam Roweis took his own life last night. Here's one of his lectures.”
  2. Submitted Netflix prize tribute: Recommendation algorithm in Python as a story · 71 points

    HN discussion
  3. An analysis of the post: http://blog.smellthedata.com/2009/09/analysis-of-pollster-fr...

    Comment linking /2009/09/analysis-of-pollster-fraud-and-oklahoma.html

    on “Are Oklahoma Students Really This Dumb? Or Is Strategic Vision ...”
  4. Submitted Machine Learning for Human Memorization as a story · 40 points

    HN discussion
  5. The data there has the scores from ~5000 games played over the course of each season, and the model he links to also seems quite reasonable to me: http://blog.smellthedata.com/2009/03/data-driven-march-madne... Don't think of it as two data points. Think of it as two data sets.

    Comment linking /2009/03/data-driven-march-madness-predictions.html

    on “Data for 2009 + 2010 March Madness. Can your algorithm predict the tourney?”
  6. Submitted Choosing a First Machine Learning Project: Start by Reading or by Doing? as a story · 30 points

    HN discussion
  7. Submitted George Dahl: Machine Learning for March Madness as a story · 25 points

    HN discussion
  8. Submitted Analysis of Nate Silver's Analysis of Oklahoma Student Poll Pollster Fraud as a story · 24 points

    HN discussion
  9. Submitted Resources for Learning about Machine Learning as a story · 22 points

    HN discussion
  10. Submitted Data for 2009 + 2010 March Madness. Can your algorithm predict the tourney? as a story · 20 points

    HN discussion
  11. Submitted Conversation starter: Machine learning in one sentence as a story · 19 points

    HN discussion
  12. Submitted The Official March Madness Predictive Analytics Challenge as a story · 14 points

    HN discussion
  13. Submitted Selection Sunday: Is your March Madness prediction algorithm ready? as a story · 10 points

    HN discussion
  14. Submitted Predicting March Madness as a story · 9 points

    HN discussion
  15. Submitted Predicting March Madness: On Tournament Structure and Bracket Scoring Rules as a story · 8 points

    HN discussion
  16. Submitted Fundamental Limits of Locality as a story · 6 points

    HN discussion
  17. Submitted Bayesian NBA Basketball Predictions as a story · 6 points

    HN discussion
  18. Submitted Got machine learning? Prepare your algorithms for data-driven March Madness 2010 as a story · 6 points

    HN discussion
  19. Submitted 2011 March Madness Predictive Analytics Challenge Announcement as a story · 4 points

    HN discussion
  20. Submitted An Algorithm to Generate Impossible Art? as a story · 3 points

    HN discussion
  21. Submitted Scientific Controversies and Hot-button Issues as a story · 3 points

    HN discussion
  22. Submitted Visualizing the March Madness Field using Machine Learning as a story · 2 points

    HN discussion
  23. Submitted How are the machines doing at predicting March Madness? as a story · 2 points

    HN discussion
  24. Submitted Testing Intuitions about Markov Chain Monte Carlo: Do I have a bug? as a story · 2 points

    HN discussion
  25. Submitted 2011 Algorithmic March Madness: Machines Lock in Victory over Humans as a story · 2 points

    HN discussion
  26. Submitted Dr. Scott Turner on March Madness: The Pain Machine as a story · 2 points

    HN discussion
  27. Submitted My 2011 March Madness Predictions using Probabilistic Matrix Factorization as a story · 2 points

    HN discussion
  28. Submitted Using Machine Learning to Predict March Madness Results as a story · 2 points

    HN discussion
  29. Submitted Using machine learning to predict March Madness as a story · 1 points

    HN discussion
  30. Submitted Machines Predict March Madness 2013 as a story · 1 points

    HN discussion

Search all of HN for blog.smellthedata.com

Linked by the same people?