Data Skeptic

A podcast by Kyle Polich

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549 Episodes

  1. Time Series for Good

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

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

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

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

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

    Published: 27/09/2021
  7. Applying k-Nearest Neighbors to Time Series

    Published: 20/09/2021
  8. Ultra Long Time Series

    Published: 13/09/2021
  9. MiniRocket

    Published: 6/09/2021
  10. ARiMA is not Sufficient

    Published: 30/08/2021
  11. Comp Engine

    Published: 23/08/2021
  12. Detecting Ransomware

    Published: 16/08/2021
  13. GANs in Finance

    Published: 9/08/2021
  14. Predicting Urban Land Use

    Published: 2/08/2021
  15. Opportunities for Skillful Weather Prediction

    Published: 26/07/2021
  16. Predicting Stock Prices

    Published: 19/07/2021
  17. N-Beats

    Published: 12/07/2021
  18. Translation Automation

    Published: 6/07/2021
  19. Time Series at the Beach

    Published: 28/06/2021
  20. Automatic Identification of Outlier Galaxy Images

    Published: 21/06/2021

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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.

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