Data Skeptic

A podcast by Kyle Polich

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559 Episodes

  1. Learning Digital Fabrication Remotely

    Published: 4/22/2022
  2. Remote Software Development

    Published: 4/18/2022
  3. Quantum K-Means

    Published: 4/11/2022
  4. K-Means in Practice

    Published: 4/4/2022
  5. Fair Hierarchical Clustering

    Published: 3/28/2022
  6. Matrix Factorization For k-Means

    Published: 3/21/2022
  7. Breathing K-Means

    Published: 3/14/2022
  8. Power K-Means

    Published: 3/7/2022
  9. Explainable K-Means

    Published: 3/3/2022
  10. Customer Clustering

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

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

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

    Published: 2/14/2022
  14. Snowflake Essentials

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

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

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

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

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

    Published: 1/10/2022
  20. Open Telemetry

    Published: 1/3/2022

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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.