Data Skeptic

En podkast av Kyle Polich

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Kategorier:

Teknologi

549 Episoder

  1. NYC Bike Share Rebalancing

    Publisert: 14.10.2016

  2. [MINI] Random Forest

    Publisert: 7.10.2016

  3. Election Predictions

    Publisert: 30.9.2016

  4. [MINI] F1 Score

    Publisert: 23.9.2016

  5. Urban Congestion

    Publisert: 16.9.2016

  6. [MINI] Heteroskedasticity

    Publisert: 9.9.2016

  7. Music21

    Publisert: 2.9.2016

  8. [MINI] Paxos

    Publisert: 26.8.2016

  9. Trusting Machine Learning Models with LIME

    Publisert: 19.8.2016

  10. [MINI] ANOVA

    Publisert: 12.8.2016

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

    Publisert: 5.8.2016

  12. [MINI] Survival Analysis

    Publisert: 29.7.2016

  13. Predictive Models on Random Data

    Publisert: 22.7.2016

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

    Publisert: 15.7.2016

  15. Multiple Comparisons and Conversion Optimization

    Publisert: 8.7.2016

  16. [MINI] Leakage

    Publisert: 1.7.2016

  17. Predictive Policing

    Publisert: 24.6.2016

  18. [MINI] The CAP Theorem

    Publisert: 17.6.2016

  19. Detecting Terrorists with Facial Recognition?

    Publisert: 10.6.2016

  20. [MINI] Goodhart's Law

    Publisert: 3.6.2016

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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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