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Brandon Rohrer

Personal blog · brohrer.github.ioaidata

Brandon Rohrer's personal blog at brohrer.github.io covers ai and data. Since 2016, 18 different Hacker News readers have linked it 18 times, most often “How Bayesian Inference Works (2016)”. No feed was found, so read it on the site itself.

No feed foundVisit the blog
18mentions?
18HN people?
2016–2020first – last linked?
Links on Hacker News per year · peak 6 in 2018

Brandon Rohrer: Publications and posts.

Most-linked posts?

  1. How Bayesian Inference Works (2016)
    3 people · 3 mentions · first linked 2017-05-27
  2. Imposter Syndrome (in Data Science)
    3 people · 3 mentions · first linked 2017-08-23
  3. How decision trees work
    2 people · 2 mentions · first linked 2018-07-19
  4. How to get a data science job: A ridiculously specific guide
    2 people · 2 mentions · first linked 2016-10-19
  5. What can neural networks learn?
    2 people · 2 mentions · first linked 2019-01-18

What Hacker News says?

  1. platz · 2018-10-14
    https://brohrer.github.io/how_bayesian_inference_works.html https://oscarbonilla.com/2009/05/visualizing-bayes-theorem/ https://plus.maths.org/content/maths-minute-bayes-theorem http://www.sumsar.net/blog/2017/02/introduction-to-bayesian-... http://www.yudkowsky.net/rational/bayes

    Comment linking /how_bayesian_inference_works.html

    on “Bayes’ Theorem in the 21st Century (2013) [pdf]”
  2. eternalban · 2016-09-26

    Submitted How Convolutional Neural Networks Work as a story · 403 points

    HN discussion
  3. andreyk · 2019-02-08
    This is a pretty good overview, though rather hand-wavy (eg the overview of RL here gives a VERY course idea of how this stuff works in practice). And the characterization of existing similar overviews as either overly technical or overly flimsy/fishy is a bit much ; this itself links to some things like Machine Learning for Humans ( https://medium.com/machine-learning-for-humans/supervised-le... , or see eg http://…

    Comment linking /blog.html

    on “Machine Learning for Everyone”
  4. amzans · 2017-05-27

    Submitted How Bayesian Inference Works (2016) as a story · 290 points

    HN discussion
  5. Communitivity · 2019-07-05
    It amazes me that Machine Learning is all many people think of when they hear AI. Machine Learning (ML) is a subset of AI. You can also hear about Deep Learning (DL), a subset of ML where you have multiple layers/multiple models. There's a decent Quora thread on Deep Learning vs. Machine Learning [1]. Both ML and DL require a fair bit of data to do their training. There are some techniques to reduce training data, s…

    Comment linking /how_bayesian_inference_works.html

    on “Death of a Startup”
  6. cdl · 2018-01-11

    Submitted Imposter Syndrome (in Data Science) as a story · 45 points

    HN discussion
  7. homarp · 2019-01-19

    Submitted What can neural networks learn? as a story · 4 points

    HN discussion
  8. wei_jok · 2017-08-23

    Submitted I am not a real data scientist as a story · 4 points

    HN discussion
  9. wilsonfiifi · 2020-05-11

    Submitted How Decision Trees Work as a story · 3 points

    HN discussion
  10. stablemap · 2018-07-19

    Submitted How decision trees work as a story · 3 points

    HN discussion
  11. hexrcs · 2017-09-16

    Submitted Data Science and the Imposter Syndrome as a story · 3 points

    HN discussion
  12. brandonrohrer · 2016-10-19

    Submitted How to get a data science job: A ridiculously specific guide as a story · 3 points

    HN discussion
  13. guard0g · 2018-12-03

    Submitted How to choose a machine learning model as a story · 2 points

    HN discussion
  14. occamschainsaw · 2018-11-11

    Submitted How to choose a machine learning model 1: Choosing between candidates as a story · 2 points

    HN discussion
  15. jellyksong · 2018-07-25

    Submitted Data Scientist Archetypes as a story · 2 points

    HN discussion
  16. muhic · 2016-09-25

    Submitted Which data science tool should I use? as a story · 2 points

    HN discussion
  17. jodooshi · 2019-01-18

    Submitted What can neural networks learn? as a story · 1 points

    HN discussion
  18. rbanffy · 2017-09-14

    Submitted How to Get a Data Science Job: A Ridiculously Specific Guide as a story · 1 points

    HN discussion

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