Data Skeptic

Un pódcast de Kyle Polich - Lunes

Lunes

Categorías:

555 Episodo

  1. Multiple Comparisons and Conversion Optimization

    Publicado: 8/7/2016
  2. [MINI] Leakage

    Publicado: 1/7/2016
  3. Predictive Policing

    Publicado: 24/6/2016
  4. [MINI] The CAP Theorem

    Publicado: 17/6/2016
  5. Detecting Terrorists with Facial Recognition?

    Publicado: 10/6/2016
  6. [MINI] Goodhart's Law

    Publicado: 3/6/2016
  7. Data Science at eHarmony

    Publicado: 27/5/2016
  8. [MINI] Stationarity and Differencing

    Publicado: 20/5/2016
  9. Feather

    Publicado: 13/5/2016
  10. [MINI] Bargaining

    Publicado: 6/5/2016
  11. deepjazz

    Publicado: 29/4/2016
  12. [MINI] Auto-correlative functions and correlograms

    Publicado: 22/4/2016
  13. Early Identification of Violent Criminal Gang Members

    Publicado: 15/4/2016
  14. [MINI] Fractional Factorial Design

    Publicado: 8/4/2016
  15. Machine Learning Done Wrong

    Publicado: 1/4/2016
  16. Potholes

    Publicado: 25/3/2016
  17. [MINI] The Elbow Method

    Publicado: 18/3/2016
  18. Too Good to be True

    Publicado: 11/3/2016
  19. [MINI] R-squared

    Publicado: 4/3/2016
  20. Models of Mental Simulation

    Publicado: 26/2/2016

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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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