571 Episoade

  1. Stealing Models from the Cloud

    Publicat: 28.10.2016

  2. [MINI] Calculating Feature Importance

    Publicat: 21.10.2016

  3. NYC Bike Share Rebalancing

    Publicat: 14.10.2016

  4. [MINI] Random Forest

    Publicat: 07.10.2016

  5. Election Predictions

    Publicat: 30.09.2016

  6. [MINI] F1 Score

    Publicat: 23.09.2016

  7. Urban Congestion

    Publicat: 16.09.2016

  8. [MINI] Heteroskedasticity

    Publicat: 09.09.2016

  9. Music21

    Publicat: 02.09.2016

  10. [MINI] Paxos

    Publicat: 26.08.2016

  11. Trusting Machine Learning Models with LIME

    Publicat: 19.08.2016

  12. [MINI] ANOVA

    Publicat: 12.08.2016

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

    Publicat: 05.08.2016

  14. [MINI] Survival Analysis

    Publicat: 29.07.2016

  15. Predictive Models on Random Data

    Publicat: 22.07.2016

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

    Publicat: 15.07.2016

  17. Multiple Comparisons and Conversion Optimization

    Publicat: 08.07.2016

  18. [MINI] Leakage

    Publicat: 01.07.2016

  19. Predictive Policing

    Publicat: 24.06.2016

  20. [MINI] The CAP Theorem

    Publicat: 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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