Data Skeptic

A podcast by Kyle Polich

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571 Episodes

  1. [MINI] The Bonferroni Correction

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

    Published: 15/01/2016
  3. [MINI] Gradient Descent

    Published: 8/01/2016
  4. Let's Kill the Word Cloud

    Published: 1/01/2016
  5. 2015 Holiday Special

    Published: 25/12/2015
  6. Wikipedia Revision Scoring as a Service

    Published: 18/12/2015
  7. [MINI] Term Frequency - Inverse Document Frequency

    Published: 11/12/2015
  8. The Hunt for Vulcan

    Published: 4/12/2015
  9. [MINI] The Accuracy Paradox

    Published: 27/11/2015
  10. Neuroscience from a Data Scientist's Perspective

    Published: 20/11/2015
  11. [MINI] Bias Variance Tradeoff

    Published: 13/11/2015
  12. Big Data Doesn't Exist

    Published: 6/11/2015
  13. [MINI] Covariance and Correlation

    Published: 30/10/2015
  14. Bayesian A/B Testing

    Published: 23/10/2015
  15. [MINI] The Central Limit Theorem

    Published: 16/10/2015
  16. Accessible Technology

    Published: 9/10/2015
  17. [MINI] Multi-armed Bandit Problems

    Published: 2/10/2015
  18. Shakespeare, Abiogenesis, and Exoplanets

    Published: 25/09/2015
  19. [MINI] Sample Sizes

    Published: 18/09/2015
  20. The Model Complexity Myth

    Published: 11/09/2015

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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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