Data Skeptic

En podkast av Kyle Polich

Kategorier:

549 Episoder

  1. Data Science at eHarmony

    Publisert: 27.5.2016
  2. [MINI] Stationarity and Differencing

    Publisert: 20.5.2016
  3. Feather

    Publisert: 13.5.2016
  4. [MINI] Bargaining

    Publisert: 6.5.2016
  5. deepjazz

    Publisert: 29.4.2016
  6. [MINI] Auto-correlative functions and correlograms

    Publisert: 22.4.2016
  7. Early Identification of Violent Criminal Gang Members

    Publisert: 15.4.2016
  8. [MINI] Fractional Factorial Design

    Publisert: 8.4.2016
  9. Machine Learning Done Wrong

    Publisert: 1.4.2016
  10. Potholes

    Publisert: 25.3.2016
  11. [MINI] The Elbow Method

    Publisert: 18.3.2016
  12. Too Good to be True

    Publisert: 11.3.2016
  13. [MINI] R-squared

    Publisert: 4.3.2016
  14. Models of Mental Simulation

    Publisert: 26.2.2016
  15. [MINI] Multiple Regression

    Publisert: 19.2.2016
  16. Scientific Studies of People's Relationship to Music

    Publisert: 12.2.2016
  17. [MINI] k-d trees

    Publisert: 5.2.2016
  18. Auditing Algorithms

    Publisert: 29.1.2016
  19. [MINI] The Bonferroni Correction

    Publisert: 22.1.2016
  20. Detecting Pseudo-profound BS

    Publisert: 15.1.2016

23 / 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