592 Episodo

  1. Authorship Attribution

    Publicado: 25/1/2019

  2. Very Large Corpora and Zipf's Law

    Publicado: 18/1/2019

  3. Semantic search at Github

    Publicado: 11/1/2019

  4. Let's Talk About Natural Language Processing

    Publicado: 4/1/2019

  5. Data Science Hiring Processes

    Publicado: 28/12/2018

  6. Holiday Reading - Epicac

    Publicado: 25/12/2018

  7. Drug Discovery with Machine Learning

    Publicado: 21/12/2018

  8. Sign Language Recognition

    Publicado: 14/12/2018

  9. Data Ethics

    Publicado: 7/12/2018

  10. Escaping the Rabbit Hole

    Publicado: 30/11/2018

  11. [MINI] Theorem Provers

    Publicado: 23/11/2018

  12. Automated Fact Checking

    Publicado: 16/11/2018

  13. [MINI] Single Source of Truth

    Publicado: 9/11/2018

  14. Detecting Fast Radio Bursts with Deep Learning

    Publicado: 2/11/2018

  15. Being Bayesian

    Publicado: 26/10/2018

  16. Modeling Fake News

    Publicado: 19/10/2018

  17. The Louvain Method for Community Detection

    Publicado: 12/10/2018

  18. Cultural Cognition of Scientific Consensus

    Publicado: 5/10/2018

  19. False Discovery Rates

    Publicado: 28/9/2018

  20. Deep Fakes

    Publicado: 21/9/2018

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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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