Data Skeptic

A podcast by Kyle Polich

Categories:

571 Episodes

  1. Explainable K-Means

    Published: 3/3/2022
  2. Customer Clustering

    Published: 2/28/2022
  3. k-means Image Segmentation

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

    Published: 2/18/2022
  5. k-means clustering

    Published: 2/14/2022
  6. Snowflake Essentials

    Published: 2/7/2022
  7. Explainable Climate Science

    Published: 1/31/2022
  8. Energy Forecasting Pipelines

    Published: 1/24/2022
  9. Matrix Profiles in Stumpy

    Published: 1/17/2022
  10. The Great Australian Prediction Project

    Published: 1/14/2022
  11. Water Demand Forecasting

    Published: 1/10/2022
  12. Open Telemetry

    Published: 1/3/2022
  13. Fashion Predictions

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

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

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

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

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

    Published: 11/29/2021
  19. Black Friday

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

    Published: 11/22/2021

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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.