Data Skeptic

Un podcast de Kyle Polich

Catégories:

549 Épisodes

  1. [MINI] Gradient Descent

    Publié: 08/01/2016
  2. Let's Kill the Word Cloud

    Publié: 01/01/2016
  3. 2015 Holiday Special

    Publié: 25/12/2015
  4. Wikipedia Revision Scoring as a Service

    Publié: 18/12/2015
  5. [MINI] Term Frequency - Inverse Document Frequency

    Publié: 11/12/2015
  6. The Hunt for Vulcan

    Publié: 04/12/2015
  7. [MINI] The Accuracy Paradox

    Publié: 27/11/2015
  8. Neuroscience from a Data Scientist's Perspective

    Publié: 20/11/2015
  9. [MINI] Bias Variance Tradeoff

    Publié: 13/11/2015
  10. Big Data Doesn't Exist

    Publié: 06/11/2015
  11. [MINI] Covariance and Correlation

    Publié: 30/10/2015
  12. Bayesian A/B Testing

    Publié: 23/10/2015
  13. [MINI] The Central Limit Theorem

    Publié: 16/10/2015
  14. Accessible Technology

    Publié: 09/10/2015
  15. [MINI] Multi-armed Bandit Problems

    Publié: 02/10/2015
  16. Shakespeare, Abiogenesis, and Exoplanets

    Publié: 25/09/2015
  17. [MINI] Sample Sizes

    Publié: 18/09/2015
  18. The Model Complexity Myth

    Publié: 11/09/2015
  19. [MINI] Distance Measures

    Publié: 04/09/2015
  20. ContentMine

    Publié: 28/08/2015

24 / 28

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.

Visit the podcast's native language site