592 Episodo

  1. [MINI] AdaBoost

    Publicado: 4/11/2016

  2. Stealing Models from the Cloud

    Publicado: 28/10/2016

  3. [MINI] Calculating Feature Importance

    Publicado: 21/10/2016

  4. NYC Bike Share Rebalancing

    Publicado: 14/10/2016

  5. [MINI] Random Forest

    Publicado: 7/10/2016

  6. Election Predictions

    Publicado: 30/9/2016

  7. [MINI] F1 Score

    Publicado: 23/9/2016

  8. Urban Congestion

    Publicado: 16/9/2016

  9. [MINI] Heteroskedasticity

    Publicado: 9/9/2016

  10. Music21

    Publicado: 2/9/2016

  11. [MINI] Paxos

    Publicado: 26/8/2016

  12. Trusting Machine Learning Models with LIME

    Publicado: 19/8/2016

  13. [MINI] ANOVA

    Publicado: 12/8/2016

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

    Publicado: 5/8/2016

  15. [MINI] Survival Analysis

    Publicado: 29/7/2016

  16. Predictive Models on Random Data

    Publicado: 22/7/2016

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

    Publicado: 15/7/2016

  18. Multiple Comparisons and Conversion Optimization

    Publicado: 8/7/2016

  19. [MINI] Leakage

    Publicado: 1/7/2016

  20. Predictive Policing

    Publicado: 24/6/2016

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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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