Top all-time · #7884
Diving into data
Personal blog · blog.datadive.netdataprogramming
Diving into data is a personal blog at blog.datadive.net about data and programming. Since 2014, 10 different Hacker News readers have linked it 16 times, most often “Which topics get the upvote on Hacker News?”. The last post was in 2018, but the archive is still widely read.
Too few sampled comments (6) to say how often HN recommends it.?
Why HN links it
HN readers link this blog for data analysis of Hacker News and Reddit topics and upvotes, and for posts on interpreting random forests and explaining model predictions with LIME.
Summarised by Claude from a sample of 6 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
Most-linked posts?
- Which topics get the upvote on Hacker News?5 people · 5 mentions · first linked 2015-02-13
- Interpreting random forests3 people · 3 mentions · first linked 2014-12-23
- 7 tools in every data scientist’s toolbox2 people · 2 mentions · first linked 2015-10-31
What Hacker News says?
I wouldn't say censorship is at play. There have been analyses showing that Google is a favorite topic of HN users[1], and also there have been customer service scenarios that prove that there are a lot of Google employees on here. Those are probably the forces at work in this case. [1] http://blog.datadive.net/which-topics-get-the-upvote-on-hack...
Comment linking /which-topics-get-the-upvote-on-hacker-news/
on “Google's response to the European Commission fine”Submitted Which topics get the upvote on Hacker News? as a story · 110 points
HN discussionRandom forests being black boxes is something that is widely touted even among active practitioner, but not really true any more. There are methods available for decomposing random forest predictions into feature contributions, so that each prediction is represented as the sum of the bias term and contribution from each feature (similar to what you get in linear regression, but at the level of each individual predic…
Comment linking /interpreting-random-forests/
on “The Unreasonable Effectiveness of Random Forests”Submitted Interpreting random forests as a story · 21 points
HN discussionI've done some experiments with LIME -- it's one of the most promising approaches for extracting prediction reasons from arbitrary and otherwise opaque models. Another interesting approach specific to random forests is decision paths: http://blog.datadive.net/interpreting-random-forests/ You get some weird outputs from these sometimes though which makes it hard to automatically show them to users. For example, a rea…
Comment linking /interpreting-random-forests/
on “Inside Darpa’s Push to Make Artificial Intelligence Explain Itself”Submitted 7 tools in every data scientist’s toolbox as a story · 2 points
HN discussionThere's these two for HN: http://blog.datadive.net/which-topics-get-the-upvote-on-hack... http://insightmine.com/hacking-y-combinator/
Comment linking /which-topics-get-the-upvote-on-hacker-news/
on “Quantifying and Visualizing the Reddit Hivemind”Submitted Who are the best MMA fighters of all time. A Bayesian study as a story · 2 points
HN discussionHere's a list of relevant links I've compiled over the past year or two: - http://nathanael.hevenet.com/the-best-time-to-post-on-hacker... - http://minimaxir.com/2014/02/hacking-hacker-news/ - http://minimaxir.com/2014/10/hn-comments-about-comments/ - http://karpathy.ca/myblog/2013/11/27/quantifying-hacker-news... https://cs.stanford.edu/people/karpathy/hn_analysis.html - http://metamarkets.com/2011/hacking-hacker-n…
Comment linking /which-topics-get-the-upvote-on-hacker-news/
on “Ask HN: Any HN stats analysis been done?”Submitted Selecting good features – Part I: univariate selection as a story · 1 points
HN discussionThis seems to have some good starting pointers: http://blog.datadive.net/which-topics-get-the-upvote-on-hack...
Comment linking /which-topics-get-the-upvote-on-hacker-news/
on “Ask HN: What are some good open-source language/textual analysis tools?”Submitted Histogram intersection for change detection as a story · 1 points
HN discussionSubmitted 7 tools in every data scientist’s toolbox as a story · 1 points
HN discussionSubmitted What's in every data scientist's toolbox? as a story · 1 points
HN discussionSubmitted Prediction intervals for Random Forests as a story · 1 points
HN discussionSubmitted Random forest interpretation with scikit-learn as a story · 1 points
HN discussion
