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Data, ML & Leadership

Personal blog · bugra.github.io/work/notesdataai

Data, ML & Leadership is a personal blog at bugra.github.io about data and ai. Since 2014, 13 different Hacker News readers have linked it 14 times, most often “IMDB Top 100K Movies – Analysis in Depth, Part 1”. No feed was found, so read it on the site itself.

No feed foundVisit the blog
14mentions?
13HN people?
2014–2016first – last linked?
Links on Hacker News per year · peak 9 in 2014

Most-linked posts?

  1. IMDB Top 100K Movies – Analysis in Depth, Part 1
    2 people · 2 mentions · first linked 2014-02-16
  2. Mining a VC - Topic Mining of Fred Wilson's Blog
    2 people · 2 mentions · first linked 2015-01-18

What Hacker News says?

  1. dserban · 2016-05-01
    [1] http://bugra.github.io/work/notes/2014-04-19/alternating-lea... This looks like a good introduction to ALS, albeit Python/Pandas centric.

    Comment linking /work/notes/2014-04-19/alternating-least-squares-method-for-collaborative-filtering/

    on “Ask HN: Where can I learn how to build a recommender system?”
  2. lauriswtf · 2014-02-16

    Submitted IMDB Top 100K Movies – Analysis in Depth, Part 1 as a story · 114 points

    HN discussion
  3. bugra · 2014-02-25
    1. Yes, I agree with you and I wrote on the first post is that that is mostly due to selection bias. http://bugra.github.io/work/notes/2014-02-15/imdb-top-100K-m... 2) That is true but I think that holds for __all__ of the movies not a subset of them. 3) I am not quite sure about that but I think that would be quite interesting look at the temporal information correlation to the rating of the movie.

    Comment linking /work/notes/2014-02-15/imdb-top-100K-movies-analysis-in-depth-part-1/

    on “IMDB Top 100K Movies – Analysis in Depth, Part 2”
  4. jonbaer · 2014-08-24

    Submitted On Machine Learning as a story · 98 points

    HN discussion
  5. fernly · 2014-02-24

    Submitted IMDB Top 100K Movies – Analysis in Depth, Part 2 as a story · 43 points

    HN discussion
  6. ivoflipse · 2014-04-03

    Submitted Outlier Detection in Time-Series Signals using FFT and Median Filtering as a story · 6 points

    HN discussion
  7. mitchpron · 2016-06-14

    Submitted A Gentle Introduction to Bloom Filter: A Space-Efficient Data Structure as a story · 5 points

    HN discussion
  8. dsr12 · 2016-10-29

    Submitted DynamoDB Learnings as a story · 3 points

    HN discussion
  9. avyfain · 2015-01-18

    Submitted Mining a VC - Topic Mining of Fred Wilson's Blog as a story · 3 points

    HN discussion
  10. bugra · 2014-03-02

    Submitted IMDB Top 100K Movies Analysis in Depth Part 3 as a story · 2 points

    HN discussion
  11. ganeumann · 2015-12-01

    Submitted Mining a VC as a story · 1 points

    HN discussion
  12. mathattack · 2014-06-19

    Submitted Quadratic Fitting and all that via MCMC as a story · 1 points

    HN discussion
  13. robdoherty2 · 2014-05-06

    Submitted Outlier Detection in Time Series Signals as a story · 1 points

    HN discussion
  14. petesoder · 2014-02-20

    Submitted Pig Advantages and Disadvantages as a story · 1 points

    HN discussion

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