593 Episodes

  1. Unstructured Data for Finance

    Published: 11/11/2016

  2. [MINI] AdaBoost

    Published: 11/4/2016

  3. Stealing Models from the Cloud

    Published: 10/28/2016

  4. [MINI] Calculating Feature Importance

    Published: 10/21/2016

  5. NYC Bike Share Rebalancing

    Published: 10/14/2016

  6. [MINI] Random Forest

    Published: 10/7/2016

  7. Election Predictions

    Published: 9/30/2016

  8. [MINI] F1 Score

    Published: 9/23/2016

  9. Urban Congestion

    Published: 9/16/2016

  10. [MINI] Heteroskedasticity

    Published: 9/9/2016

  11. Music21

    Published: 9/2/2016

  12. [MINI] Paxos

    Published: 8/26/2016

  13. Trusting Machine Learning Models with LIME

    Published: 8/19/2016

  14. [MINI] ANOVA

    Published: 8/12/2016

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

    Published: 8/5/2016

  16. [MINI] Survival Analysis

    Published: 7/29/2016

  17. Predictive Models on Random Data

    Published: 7/22/2016

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

    Published: 7/15/2016

  19. Multiple Comparisons and Conversion Optimization

    Published: 7/8/2016

  20. [MINI] Leakage

    Published: 7/1/2016

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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.