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date ↓reading timeviews
  • 43 | FLDR? I Barely Even Know Her!

    Published on
    September 23, 2022 ∘ ~24 mins ∘ ––– views
    digeststatisticstrees
    dice, trees, & integer arithmetic
  • 40 | Voyager 2

    Published on
    July 9, 2022 ∘ ~60 mins ∘ ––– views
    information-theorygroup-theorystatisticscodesrocket-science
    Error Correcting Codes and future-proofing space craft
    poty
  • 39 | Notes on Information Theory

    Published on
    July 1, 2022 ∘ ~170 mins ∘ ––– views
    information-theorygroup-theorystatisticscodes
    Notes on Information Theory from Claude, Hamming, Hadamard, CMU, Wiley
  • 35 | Reasonable Judging

    Published on
    April 20, 2022 ∘ ~29 mins ∘ ––– views
    hackathonstatistics
    Using spreadsheets, (not) Gavel, Social Choice Theory
  • 31 | Digest: Modeling Uncertainty

    Published on
    August 13, 2021 ∘ ~18 mins ∘ ––– views
    digeststatistics
    Daniel's knowledge + Monte Carlo simulations
  • 22 | Digest: TrueSkill 2: Better Bayesian Assumptions Boogaloo

    Published on
    August 12, 2020 ∘ ~12 mins ∘ ––– views
    digeststatistics
    Optimal Match Making using Bayesian Inference
  • 9 | Build a K-Nearest Neighbors Graph From Scratch

    Published on
    May 12, 2019 ∘ ~13 mins ∘ ––– views
    statisticsp5.js
    Given n-dimensional data that we can classify into various categories, we can use KNN to predict what class an unknown n-dimensional data-point falls into based on its proximity to the nearest K points.
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Peter Murphy
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murphyandhislaw