Data Skeptic

Un pódcast de Kyle Polich - Lunes

Lunes

Categorías:

Tecnología

555 Episodo

  1. [MINI] The Bootstrap

    Publicado: 25/11/2016

  2. [MINI] Gini Coefficients

    Publicado: 18/11/2016

  3. Unstructured Data for Finance

    Publicado: 11/11/2016

  4. [MINI] AdaBoost

    Publicado: 4/11/2016

  5. Stealing Models from the Cloud

    Publicado: 28/10/2016

  6. [MINI] Calculating Feature Importance

    Publicado: 21/10/2016

  7. NYC Bike Share Rebalancing

    Publicado: 14/10/2016

  8. [MINI] Random Forest

    Publicado: 7/10/2016

  9. Election Predictions

    Publicado: 30/9/2016

  10. [MINI] F1 Score

    Publicado: 23/9/2016

  11. Urban Congestion

    Publicado: 16/9/2016

  12. [MINI] Heteroskedasticity

    Publicado: 9/9/2016

  13. Music21

    Publicado: 2/9/2016

  14. [MINI] Paxos

    Publicado: 26/8/2016

  15. Trusting Machine Learning Models with LIME

    Publicado: 19/8/2016

  16. [MINI] ANOVA

    Publicado: 12/8/2016

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

    Publicado: 5/8/2016

  18. [MINI] Survival Analysis

    Publicado: 29/7/2016

  19. Predictive Models on Random Data

    Publicado: 22/7/2016

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

    Publicado: 15/7/2016

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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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