Data Skeptic

A podcast by Kyle Polich

Categories:

571 Episodes

  1. Very Large Corpora and Zipf's Law

    Published: 18/01/2019
  2. Semantic search at Github

    Published: 11/01/2019
  3. Let's Talk About Natural Language Processing

    Published: 4/01/2019
  4. Data Science Hiring Processes

    Published: 28/12/2018
  5. Holiday Reading - Epicac

    Published: 25/12/2018
  6. Drug Discovery with Machine Learning

    Published: 21/12/2018
  7. Sign Language Recognition

    Published: 14/12/2018
  8. Data Ethics

    Published: 7/12/2018
  9. Escaping the Rabbit Hole

    Published: 30/11/2018
  10. [MINI] Theorem Provers

    Published: 23/11/2018
  11. Automated Fact Checking

    Published: 16/11/2018
  12. [MINI] Single Source of Truth

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

    Published: 2/11/2018
  14. Being Bayesian

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

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

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

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

    Published: 28/09/2018
  19. Deep Fakes

    Published: 21/09/2018
  20. Fake News Midterm

    Published: 14/09/2018

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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.

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