Data Skeptic

A podcast by Kyle Polich

Categories:

565 Episodes

  1. Explainable Climate Science

    Published: 31/01/2022
  2. Energy Forecasting Pipelines

    Published: 24/01/2022
  3. Matrix Profiles in Stumpy

    Published: 17/01/2022
  4. The Great Australian Prediction Project

    Published: 14/01/2022
  5. Water Demand Forecasting

    Published: 10/01/2022
  6. Open Telemetry

    Published: 3/01/2022
  7. Fashion Predictions

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

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

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

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

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

    Published: 29/11/2021
  13. Black Friday

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

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

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

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

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

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

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

    Published: 11/10/2021

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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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