Data Skeptic

A podcast by Kyle Polich

Categories:

540 Episodes

  1. Open Telemetry

    Published: 1/3/2022
  2. Fashion Predictions

    Published: 12/27/2021
  3. Time Series Mini Episodes

    Published: 12/25/2021
  4. Forecasting Motor Vehicle Collision

    Published: 12/20/2021
  5. Deep Learning for Road Traffic Forecasting

    Published: 12/13/2021
  6. Bike Share Demand Forecasting

    Published: 12/6/2021
  7. Forecasting in Supply Chain

    Published: 11/29/2021
  8. Black Friday

    Published: 11/26/2021
  9. Aligning Time Series on Incomparable Spaces

    Published: 11/22/2021
  10. Comparing Time Series with HCTSA

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

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

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

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

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

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

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

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

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

    Published: 9/13/2021
  20. MiniRocket

    Published: 9/6/2021

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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.