Data Skeptic

Un pódcast de Kyle Polich - Lunes

Lunes

Categorías:

555 Episodo

  1. Recurrent Relational Networks

    Publicado: 15/2/2019
  2. Text World and Word Embedding Lower Bounds

    Publicado: 8/2/2019
  3. word2vec

    Publicado: 1/2/2019
  4. Authorship Attribution

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

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

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

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

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

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

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

    Publicado: 14/12/2018
  12. Data Ethics

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

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

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

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

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

    Publicado: 2/11/2018
  18. Being Bayesian

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

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

    Publicado: 12/10/2018

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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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