Data Skeptic

A podcast by Kyle Polich

Categories:

540 Episodes

  1. [MINI] ANOVA

    Published: 8/12/2016
  2. Machine Learning on Images with Noisy Human-centric Labels

    Published: 8/5/2016
  3. [MINI] Survival Analysis

    Published: 7/29/2016
  4. Predictive Models on Random Data

    Published: 7/22/2016
  5. [MINI] Receiver Operating Characteristic (ROC) Curve

    Published: 7/15/2016
  6. Multiple Comparisons and Conversion Optimization

    Published: 7/8/2016
  7. [MINI] Leakage

    Published: 7/1/2016
  8. Predictive Policing

    Published: 6/24/2016
  9. [MINI] The CAP Theorem

    Published: 6/17/2016
  10. Detecting Terrorists with Facial Recognition?

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

    Published: 6/3/2016
  12. Data Science at eHarmony

    Published: 5/27/2016
  13. [MINI] Stationarity and Differencing

    Published: 5/20/2016
  14. Feather

    Published: 5/13/2016
  15. [MINI] Bargaining

    Published: 5/6/2016
  16. deepjazz

    Published: 4/29/2016
  17. [MINI] Auto-correlative functions and correlograms

    Published: 4/22/2016
  18. Early Identification of Violent Criminal Gang Members

    Published: 4/15/2016
  19. [MINI] Fractional Factorial Design

    Published: 4/8/2016
  20. Machine Learning Done Wrong

    Published: 4/1/2016

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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.