Data Skeptic

A podcast by Kyle Polich

Categories:

540 Episodes

  1. [MINI] Single Source of Truth

    Published: 11/9/2018
  2. Detecting Fast Radio Bursts with Deep Learning

    Published: 11/2/2018
  3. Being Bayesian

    Published: 10/26/2018
  4. Modeling Fake News

    Published: 10/19/2018
  5. The Louvain Method for Community Detection

    Published: 10/12/2018
  6. Cultural Cognition of Scientific Consensus

    Published: 10/5/2018
  7. False Discovery Rates

    Published: 9/28/2018
  8. Deep Fakes

    Published: 9/21/2018
  9. Fake News Midterm

    Published: 9/14/2018
  10. Quality Score

    Published: 9/7/2018
  11. The Knowledge Illusion

    Published: 8/31/2018
  12. Click Through Rates

    Published: 8/24/2018
  13. Algorithmic Detection of Fake News

    Published: 8/17/2018
  14. Ant Intelligence

    Published: 8/10/2018
  15. Human Detection of Fake News

    Published: 8/3/2018
  16. Spam Filtering with Naive Bayes

    Published: 7/27/2018
  17. The Spread of Fake News

    Published: 7/20/2018
  18. Fake News

    Published: 7/13/2018
  19. Dev Ops for Data Science

    Published: 7/11/2018
  20. First Order Logic

    Published: 7/6/2018

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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.