Data Skeptic

A podcast by Kyle Polich

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559 Episodes

  1. Fashion Predictions

    Published: 12/27/2021
  2. Time Series Mini Episodes

    Published: 12/25/2021
  3. Forecasting Motor Vehicle Collision

    Published: 12/20/2021
  4. Deep Learning for Road Traffic Forecasting

    Published: 12/13/2021
  5. Bike Share Demand Forecasting

    Published: 12/6/2021
  6. Forecasting in Supply Chain

    Published: 11/29/2021
  7. Black Friday

    Published: 11/26/2021
  8. Aligning Time Series on Incomparable Spaces

    Published: 11/22/2021
  9. Comparing Time Series with HCTSA

    Published: 11/15/2021
  10. Change Point Detection Algorithms

    Published: 11/8/2021
  11. Time Series for Good

    Published: 11/1/2021
  12. Long Term Time Series Forecasting

    Published: 10/25/2021
  13. Fast and Frugal Time Series Forecasting

    Published: 10/17/2021
  14. Causal Inference in Educational Systems

    Published: 10/11/2021
  15. Boosted Embeddings for Time Series

    Published: 10/4/2021
  16. Change Point Detection in Continuous Integration Systems

    Published: 9/27/2021
  17. Applying k-Nearest Neighbors to Time Series

    Published: 9/20/2021
  18. Ultra Long Time Series

    Published: 9/13/2021
  19. MiniRocket

    Published: 9/6/2021
  20. ARiMA is not Sufficient

    Published: 8/30/2021

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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.