Data Skeptic

Un pódcast de Kyle Polich

Categorías:

553 Episodo

  1. word2vec

    Publicado: 1/2/2019
  2. Authorship Attribution

    Publicado: 25/1/2019
  3. Very Large Corpora and Zipf's Law

    Publicado: 18/1/2019
  4. Semantic search at Github

    Publicado: 11/1/2019
  5. Let's Talk About Natural Language Processing

    Publicado: 4/1/2019
  6. Data Science Hiring Processes

    Publicado: 28/12/2018
  7. Holiday Reading - Epicac

    Publicado: 25/12/2018
  8. Drug Discovery with Machine Learning

    Publicado: 21/12/2018
  9. Sign Language Recognition

    Publicado: 14/12/2018
  10. Data Ethics

    Publicado: 7/12/2018
  11. Escaping the Rabbit Hole

    Publicado: 30/11/2018
  12. [MINI] Theorem Provers

    Publicado: 23/11/2018
  13. Automated Fact Checking

    Publicado: 16/11/2018
  14. [MINI] Single Source of Truth

    Publicado: 9/11/2018
  15. Detecting Fast Radio Bursts with Deep Learning

    Publicado: 2/11/2018
  16. Being Bayesian

    Publicado: 26/10/2018
  17. Modeling Fake News

    Publicado: 19/10/2018
  18. The Louvain Method for Community Detection

    Publicado: 12/10/2018
  19. Cultural Cognition of Scientific Consensus

    Publicado: 5/10/2018
  20. False Discovery Rates

    Publicado: 28/9/2018

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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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