Data Skeptic

Un pódcast de Kyle Polich

Categorías:

Tecnología

553 Episodo

  1. Unstructured Data for Finance

    Publicado: 11/11/2016

  2. [MINI] AdaBoost

    Publicado: 4/11/2016

  3. Stealing Models from the Cloud

    Publicado: 28/10/2016

  4. [MINI] Calculating Feature Importance

    Publicado: 21/10/2016

  5. NYC Bike Share Rebalancing

    Publicado: 14/10/2016

  6. [MINI] Random Forest

    Publicado: 7/10/2016

  7. Election Predictions

    Publicado: 30/9/2016

  8. [MINI] F1 Score

    Publicado: 23/9/2016

  9. Urban Congestion

    Publicado: 16/9/2016

  10. [MINI] Heteroskedasticity

    Publicado: 9/9/2016

  11. Music21

    Publicado: 2/9/2016

  12. [MINI] Paxos

    Publicado: 26/8/2016

  13. Trusting Machine Learning Models with LIME

    Publicado: 19/8/2016

  14. [MINI] ANOVA

    Publicado: 12/8/2016

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

    Publicado: 5/8/2016

  16. [MINI] Survival Analysis

    Publicado: 29/7/2016

  17. Predictive Models on Random Data

    Publicado: 22/7/2016

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

    Publicado: 15/7/2016

  19. Multiple Comparisons and Conversion Optimization

    Publicado: 8/7/2016

  20. [MINI] Leakage

    Publicado: 1/7/2016

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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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