• Mashup Score: 0
    Bard - 2 year(s) ago

    “Arrow! Black arrow! I have saved you to the last. You have never failed me and always I have recovered you. I had you from my father and he from of old. If ever you came from the forges of the true king under the Mountain, go now and speed well!” —The Hobbit, “Fire and Water” Bard, known also as Bard the Bowman and Bard I, was a Man of Lake-town, the slayer of the dragon Smaug, and founder and…

    Source: The One Wiki to Rule Them All
    Categories: Future of Medicine, Latest Headlines
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      IAmSamFin

      (There are layers of nerd reference here https://t.co/UfTD4wJpQD )

  • Mashup Score: 6
    Machine Learning and Statistics in Clinical Research Articles - 2 year(s) ago

    This Viewpoint describes the false dichotomy between statistics and machine learning and suggests considerations in building and evaluating clinical prediction models.

    Source: jamanetwork.com
    Categories: Future of Medicine, Latest Headlines
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      IAmSamFin

      Viewpoint on Machine Learning and Statistics now out in @JAMAPediatrics, making our case against a false dichotomy and discussing some best practices. Naturally, we now consider the ML vs Stats matter closed, and do not expect further confusion or debate https://t.co/a1YgGKHcO6 https://t.co/7ugVrRXuwP

  • Mashup Score: 4
    Source of Arthur Samuel's definition of machine learning - 2 year(s) ago

    Many people seem to agree that Arthur Samuel wrote or said in 1959 that machine learning is the “Field of study that gives computers the ability to learn without being explicitly programmed”. For

    Source: Data Science Stack Exchange
    Categories: Future of Medicine, Latest Headlines
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      IAmSamFin

      Very common quote attributed to A.S. defining ML: “field of study that gives computers the ability to learn without being explicitly programmed”. Usually linked to 1959 paper that does not contain phrase. Where did the exact (?mis-)quote first come from? https://t.co/JRKc1SyKgy

  • Mashup Score: 25
    Introduction to Modern Causal Inference - 2 year(s) ago

    Drag image to repositionIntroduction to Modern Causal InferenceAlejandro Schuler Mark van der LaanThis book is a work in-progress! Everything about it is subject to change.Our goal is to get people with any amount of experience in formal mathematics past undergraduate probability to be able to take a vaguely-defined scientific question, translate it into a formal statistical problem, and solve it…

    Source: alejandroschuler.github.io
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      IAmSamFin

      RT @UnibusPluram: I migrated my Modern Causal Inference book to github: https://t.co/6KNxgO15bH. Apologies for the broken notion link to th…

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