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The Philosophy of Data Science | Critical Reasoning in Data Science

  • 1.  The Philosophy of Data Science | Critical Reasoning in Data Science

    Posted 09-23-2020 23:13
    Our new episode "Critical Reasoning in Data Science" is now published!

    Data science in medicine and healthcare requires not only algorithmic and statistical knowledge but also a strong appreciation of the clinical environment in which (i) the data is being collected and (ii) the algorithm will be used. I'll showcase a scenario where a machine learning system failed to perform a "simple" predictive task and how critical reasoning was used to resolve the problem.

    Guest-host Kristin Morgan (University of Connecticut) joins us to lead the discussion in how this example is applicable to the broader field of biomedical data science.

    This is...
    The Philosophy of Data Science Series
    Session 1: Scientific Reasoning for Practical Data Science
    Episode 1: Critical Reasoning in Data Science

    Watch it on...
    YouTube: https://www.youtube.com/watch?v=o5YmdoCiyug
    Podbean: https://podofasclepius.podbean.com/e/philosophy-of-data-science-s01-e01-critical-reasoning-in-medical-machine-learning/

    Coming up next week: Applying Scientific Reasoning to Statistical Practice with Andrew Gelman (Columbia University)

    We're always happy to hear your feedback and ideas - just post it in the YouTube comment section to start a conversation.
    You can join our mail-list at: https://www.podofasclepius.com/mail-list

    Thank you for your time and support of the series!

    ------------------------------
    Glen Wright Colopy
    DPhil Oxon
    Data Scientist at Cenduit LLC, Durham, NC
    ------------------------------


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