Data Skeptic

Un podcast de Kyle Polich

Catégories:

549 Épisodes

  1. Data Science at eHarmony

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

    Publié: 20/05/2016
  3. Feather

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

    Publié: 06/05/2016
  5. deepjazz

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

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

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

    Publié: 08/04/2016
  9. Machine Learning Done Wrong

    Publié: 01/04/2016
  10. Potholes

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

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

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

    Publié: 04/03/2016
  14. Models of Mental Simulation

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

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

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

    Publié: 05/02/2016
  18. Auditing Algorithms

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

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

    Publié: 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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