Data Skeptic

Un pódcast de Kyle Polich

Categorías:

553 Episodo

  1. Deep Fakes

    Publicado: 21/9/2018
  2. Fake News Midterm

    Publicado: 14/9/2018
  3. Quality Score

    Publicado: 7/9/2018
  4. The Knowledge Illusion

    Publicado: 31/8/2018
  5. Click Through Rates

    Publicado: 24/8/2018
  6. Algorithmic Detection of Fake News

    Publicado: 17/8/2018
  7. Ant Intelligence

    Publicado: 10/8/2018
  8. Human Detection of Fake News

    Publicado: 3/8/2018
  9. Spam Filtering with Naive Bayes

    Publicado: 27/7/2018
  10. The Spread of Fake News

    Publicado: 20/7/2018
  11. Fake News

    Publicado: 13/7/2018
  12. Dev Ops for Data Science

    Publicado: 11/7/2018
  13. First Order Logic

    Publicado: 6/7/2018
  14. Blind Spots in Reinforcement Learning

    Publicado: 29/6/2018
  15. Defending Against Adversarial Attacks

    Publicado: 22/6/2018
  16. Transfer Learning

    Publicado: 15/6/2018
  17. Medical Imaging Training Techniques

    Publicado: 8/6/2018
  18. Kalman Filters

    Publicado: 1/6/2018
  19. AI in Industry

    Publicado: 25/5/2018
  20. AI in Games

    Publicado: 18/5/2018

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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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