Data Skeptic

A podcast by Kyle Polich

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565 Episodes

  1. Boosted Embeddings for Time Series

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

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

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

    Published: 13/09/2021
  5. MiniRocket

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

    Published: 30/08/2021
  7. Comp Engine

    Published: 23/08/2021
  8. Detecting Ransomware

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

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

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

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

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

    Published: 12/07/2021
  14. Translation Automation

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

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

    Published: 21/06/2021
  17. Do We Need Deep Learning in Time Series

    Published: 16/06/2021
  18. Detecting Drift

    Published: 11/06/2021
  19. Darts Library for Time Series

    Published: 31/05/2021
  20. Forecasting Principles and Practice

    Published: 24/05/2021

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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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