592 Avsnitt

  1. [MINI] AdaBoost

    Publicerades: 2016-11-04

  2. Stealing Models from the Cloud

    Publicerades: 2016-10-28

  3. [MINI] Calculating Feature Importance

    Publicerades: 2016-10-21

  4. NYC Bike Share Rebalancing

    Publicerades: 2016-10-14

  5. [MINI] Random Forest

    Publicerades: 2016-10-07

  6. Election Predictions

    Publicerades: 2016-09-30

  7. [MINI] F1 Score

    Publicerades: 2016-09-23

  8. Urban Congestion

    Publicerades: 2016-09-16

  9. [MINI] Heteroskedasticity

    Publicerades: 2016-09-09

  10. Music21

    Publicerades: 2016-09-02

  11. [MINI] Paxos

    Publicerades: 2016-08-26

  12. Trusting Machine Learning Models with LIME

    Publicerades: 2016-08-19

  13. [MINI] ANOVA

    Publicerades: 2016-08-12

  14. Machine Learning on Images with Noisy Human-centric Labels

    Publicerades: 2016-08-05

  15. [MINI] Survival Analysis

    Publicerades: 2016-07-29

  16. Predictive Models on Random Data

    Publicerades: 2016-07-22

  17. [MINI] Receiver Operating Characteristic (ROC) Curve

    Publicerades: 2016-07-15

  18. Multiple Comparisons and Conversion Optimization

    Publicerades: 2016-07-08

  19. [MINI] Leakage

    Publicerades: 2016-07-01

  20. Predictive Policing

    Publicerades: 2016-06-24

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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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