Data Skeptic

A podcast by Kyle Polich

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549 Episodes

  1. NYC Bike Share Rebalancing

    Published: 14/10/2016
  2. [MINI] Random Forest

    Published: 7/10/2016
  3. Election Predictions

    Published: 30/09/2016
  4. [MINI] F1 Score

    Published: 23/09/2016
  5. Urban Congestion

    Published: 16/09/2016
  6. [MINI] Heteroskedasticity

    Published: 9/09/2016
  7. Music21

    Published: 2/09/2016
  8. [MINI] Paxos

    Published: 26/08/2016
  9. Trusting Machine Learning Models with LIME

    Published: 19/08/2016
  10. [MINI] ANOVA

    Published: 12/08/2016
  11. Machine Learning on Images with Noisy Human-centric Labels

    Published: 5/08/2016
  12. [MINI] Survival Analysis

    Published: 29/07/2016
  13. Predictive Models on Random Data

    Published: 22/07/2016
  14. [MINI] Receiver Operating Characteristic (ROC) Curve

    Published: 15/07/2016
  15. Multiple Comparisons and Conversion Optimization

    Published: 8/07/2016
  16. [MINI] Leakage

    Published: 1/07/2016
  17. Predictive Policing

    Published: 24/06/2016
  18. [MINI] The CAP Theorem

    Published: 17/06/2016
  19. Detecting Terrorists with Facial Recognition?

    Published: 10/06/2016
  20. [MINI] Goodhart's Law

    Published: 3/06/2016

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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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