Data Skeptic

A podcast by Kyle Polich

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571 Episodes

  1. Comparing Time Series with HCTSA

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

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

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

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

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

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

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

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

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

    Published: 9/13/2021
  11. MiniRocket

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

    Published: 8/30/2021
  13. Comp Engine

    Published: 8/23/2021
  14. Detecting Ransomware

    Published: 8/16/2021
  15. GANs in Finance

    Published: 8/9/2021
  16. Predicting Urban Land Use

    Published: 8/2/2021
  17. Opportunities for Skillful Weather Prediction

    Published: 7/26/2021
  18. Predicting Stock Prices

    Published: 7/19/2021
  19. N-Beats

    Published: 7/12/2021
  20. Translation Automation

    Published: 7/6/2021

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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.