Data Skeptic

A podcast by Kyle Polich

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549 Episodes

  1. Data Science at eHarmony

    Published: 27/05/2016
  2. [MINI] Stationarity and Differencing

    Published: 20/05/2016
  3. Feather

    Published: 13/05/2016
  4. [MINI] Bargaining

    Published: 6/05/2016
  5. deepjazz

    Published: 29/04/2016
  6. [MINI] Auto-correlative functions and correlograms

    Published: 22/04/2016
  7. Early Identification of Violent Criminal Gang Members

    Published: 15/04/2016
  8. [MINI] Fractional Factorial Design

    Published: 8/04/2016
  9. Machine Learning Done Wrong

    Published: 1/04/2016
  10. Potholes

    Published: 25/03/2016
  11. [MINI] The Elbow Method

    Published: 18/03/2016
  12. Too Good to be True

    Published: 11/03/2016
  13. [MINI] R-squared

    Published: 4/03/2016
  14. Models of Mental Simulation

    Published: 26/02/2016
  15. [MINI] Multiple Regression

    Published: 19/02/2016
  16. Scientific Studies of People's Relationship to Music

    Published: 12/02/2016
  17. [MINI] k-d trees

    Published: 5/02/2016
  18. Auditing Algorithms

    Published: 29/01/2016
  19. [MINI] The Bonferroni Correction

    Published: 22/01/2016
  20. Detecting Pseudo-profound BS

    Published: 15/01/2016

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The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.

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