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Peekaboo

Personal blog · peekaboo-vision.blogspot.comaiprogramming

Peekaboo is a personal blog at peekaboo-vision.blogspot.com about ai and programming. Since 2012, 12 different Hacker News readers have linked it 13 times, most often “Don't Cite the No Free Lunch Theorem”. The last post was in 2020, but the archive is still widely read.

Visit the blog
13mentions?
12HN people?
2012–2021first – last linked?
Links on Hacker News per year · peak 3 in 2019

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

Why HN links it

HN readers link Peekaboo for its machine learning diagrams and cheat sheet, which cover different problem types, and for a post on why neural networks struggle with the Game of Life.

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.

Ramblings about Machine Learning, Python and scikit-learn.

Most-linked posts?

  1. Don't Cite the No Free Lunch Theorem
    4 people · 5 mentions · first linked 2019-07-02
  2. Machine Learning Cheat Sheet (for Scikit-Learn)
    4 people · 4 mentions · first linked 2013-12-05

What Hacker News says?

  1. This looks clipped in my browser, but you can see the original diagram here: http://peekaboo-vision.blogspot.com/2013/01/machine-learning...

    Comment linking /2013/01/machine-learning-cheat-sheet-for-scikit.html

    on “Architecting a Machine Learning System for Risk”
  2. Submitted Don't Cite the No Free Lunch Theorem as a story · 61 points

    HN discussion
  3. https://peekaboo-vision.blogspot.com/2019/07/dont-cite-no-fr...

    Comment linking /2019/07/dont-cite-no-free-lunch-theorem.html

    on “Why neural networks struggle with the Game of Life”
  4. Submitted Kernel Approximations for Efficient SVMs (and other feature extraction methods) as a story · 5 points

    HN discussion
  5. sebg · 2018-06-07Recommends
    Have you seen this -> http://peekaboo-vision.blogspot.com/2013/01/machine-learning... ... Specifically the image at http://1.bp.blogspot.com/-ME24ePzpzIM/UQLWTwurfXI/AAAAAAAAAN... It seems like a good start. There are myriad resources but none that I can think of that cover all the different problem types. What are you interested in specifically?

    Comment linking /2013/01/machine-learning-cheat-sheet-for-scikit.html

    on “Ask HN: Is there a machine learning version of 'the algorithm design manual'?”
  6. Submitted Don't Cite the No Free Lunch Theorem as a story · 3 points

    HN discussion
  7. In the machine learning cheat sheet [1], one of the boxes is "tough luck". [1] http://peekaboo-vision.blogspot.com/2013/01/machine-learning...

    Comment linking /2013/01/machine-learning-cheat-sheet-for-scikit.html

    on “Ask HN: What are the hottest areas in computer science today?”
  8. Submitted Machine Learning Cheat Sheet as a story · 2 points

    HN discussion
  9. Submitted Don't Cite the No Free Lunch Theorem as a story · 2 points

    HN discussion
  10. Submitted Don't Cite the No Free Lunch Theorem as a story · 1 points

    HN discussion
  11. Submitted Don't fund Software that doesn't exist as a story · 1 points

    HN discussion
  12. Submitted Machine Learning Cheat Sheet (for Scikit-Learn) as a story · 1 points

    HN discussion
  13. Submitted Peekaboo: Another look at MNIST as a story · 1 points

    HN discussion

Search all of HN for peekaboo-vision.blogspot.com

Linked by the same people?