Data Skeptic

Un pódcast de Kyle Polich

Categorías:

553 Episodo

  1. [MINI] k-d trees

    Publicado: 5/2/2016
  2. Auditing Algorithms

    Publicado: 29/1/2016
  3. [MINI] The Bonferroni Correction

    Publicado: 22/1/2016
  4. Detecting Pseudo-profound BS

    Publicado: 15/1/2016
  5. [MINI] Gradient Descent

    Publicado: 8/1/2016
  6. Let's Kill the Word Cloud

    Publicado: 1/1/2016
  7. 2015 Holiday Special

    Publicado: 25/12/2015
  8. Wikipedia Revision Scoring as a Service

    Publicado: 18/12/2015
  9. [MINI] Term Frequency - Inverse Document Frequency

    Publicado: 11/12/2015
  10. The Hunt for Vulcan

    Publicado: 4/12/2015
  11. [MINI] The Accuracy Paradox

    Publicado: 27/11/2015
  12. Neuroscience from a Data Scientist's Perspective

    Publicado: 20/11/2015
  13. [MINI] Bias Variance Tradeoff

    Publicado: 13/11/2015
  14. Big Data Doesn't Exist

    Publicado: 6/11/2015
  15. [MINI] Covariance and Correlation

    Publicado: 30/10/2015
  16. Bayesian A/B Testing

    Publicado: 23/10/2015
  17. [MINI] The Central Limit Theorem

    Publicado: 16/10/2015
  18. Accessible Technology

    Publicado: 9/10/2015
  19. [MINI] Multi-armed Bandit Problems

    Publicado: 2/10/2015
  20. Shakespeare, Abiogenesis, and Exoplanets

    Publicado: 25/9/2015

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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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