Data Skeptic

A podcast by Kyle Polich

Categories:

540 Episodes

  1. ARiMA is not Sufficient

    Published: 8/30/2021
  2. Comp Engine

    Published: 8/23/2021
  3. Detecting Ransomware

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

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

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

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

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

    Published: 7/12/2021
  9. Translation Automation

    Published: 7/6/2021
  10. Time Series at the Beach

    Published: 6/28/2021
  11. Automatic Identification of Outlier Galaxy Images

    Published: 6/21/2021
  12. Do We Need Deep Learning in Time Series

    Published: 6/16/2021
  13. Detecting Drift

    Published: 6/11/2021
  14. Darts Library for Time Series

    Published: 5/31/2021
  15. Forecasting Principles and Practice

    Published: 5/24/2021
  16. Prequisites for Time Series

    Published: 5/21/2021
  17. Orders of Magnitude

    Published: 5/7/2021
  18. They're Coming for Our Jobs

    Published: 5/3/2021
  19. Pandemic Machine Learning Pitfalls

    Published: 4/26/2021
  20. Flesch Kincaid Readability Tests

    Published: 4/19/2021

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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.