Data Skeptic

571 Episodes

1. Stealing Models from the Cloud

   Published: 28/10/2016
2. [MINI] Calculating Feature Importance

   Published: 21/10/2016
3. NYC Bike Share Rebalancing

   Published: 14/10/2016
4. [MINI] Random Forest

   Published: 7/10/2016
5. Election Predictions

   Published: 30/09/2016
6. [MINI] F1 Score

   Published: 23/09/2016
7. Urban Congestion

   Published: 16/09/2016
8. [MINI] Heteroskedasticity

   Published: 9/09/2016
9. Music21

   Published: 2/09/2016
10. [MINI] Paxos

    Published: 26/08/2016
11. Trusting Machine Learning Models with LIME

    Published: 19/08/2016
12. [MINI] ANOVA

    Published: 12/08/2016
13. Machine Learning on Images with Noisy Human-centric Labels

    Published: 5/08/2016
14. [MINI] Survival Analysis

    Published: 29/07/2016
15. Predictive Models on Random Data

    Published: 22/07/2016
16. [MINI] Receiver Operating Characteristic (ROC) Curve

    Published: 15/07/2016
17. Multiple Comparisons and Conversion Optimization

    Published: 8/07/2016
18. [MINI] Leakage

    Published: 1/07/2016
19. Predictive Policing

    Published: 24/06/2016
20. [MINI] The CAP Theorem

    Published: 17/06/2016