Data Skeptic

A podcast by Kyle Polich

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549 Episodes

  1. k-means Image Segmentation

    Published: 22/02/2022
  2. Tracking Elephant Clusters

    Published: 18/02/2022
  3. k-means clustering

    Published: 14/02/2022
  4. Snowflake Essentials

    Published: 7/02/2022
  5. Explainable Climate Science

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

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

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

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

    Published: 10/01/2022
  10. Open Telemetry

    Published: 3/01/2022
  11. Fashion Predictions

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

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

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

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

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

    Published: 29/11/2021
  17. Black Friday

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

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

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

    Published: 8/11/2021

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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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