Data Skeptic

A podcast by Kyle Polich

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559 Episodes

  1. Comp Engine

    Published: 8/23/2021
  2. Detecting Ransomware

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

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

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

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

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

    Published: 7/12/2021
  8. Translation Automation

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

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

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

    Published: 6/16/2021
  12. Detecting Drift

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

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

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

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

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

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

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

    Published: 4/19/2021
  20. Fairness Aware Outlier Detection

    Published: 4/9/2021

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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.