571 Épisodes

  1. Stealing Models from the Cloud

    Publié: 28/10/2016

  2. [MINI] Calculating Feature Importance

    Publié: 21/10/2016

  3. NYC Bike Share Rebalancing

    Publié: 14/10/2016

  4. [MINI] Random Forest

    Publié: 07/10/2016

  5. Election Predictions

    Publié: 30/09/2016

  6. [MINI] F1 Score

    Publié: 23/09/2016

  7. Urban Congestion

    Publié: 16/09/2016

  8. [MINI] Heteroskedasticity

    Publié: 09/09/2016

  9. Music21

    Publié: 02/09/2016

  10. [MINI] Paxos

    Publié: 26/08/2016

  11. Trusting Machine Learning Models with LIME

    Publié: 19/08/2016

  12. [MINI] ANOVA

    Publié: 12/08/2016

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

    Publié: 05/08/2016

  14. [MINI] Survival Analysis

    Publié: 29/07/2016

  15. Predictive Models on Random Data

    Publié: 22/07/2016

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

    Publié: 15/07/2016

  17. Multiple Comparisons and Conversion Optimization

    Publié: 08/07/2016

  18. [MINI] Leakage

    Publié: 01/07/2016

  19. Predictive Policing

    Publié: 24/06/2016

  20. [MINI] The CAP Theorem

    Publié: 17/06/2016

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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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