Data Skeptic

A podcast by Kyle Polich

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565 Episodes

  1. Emoji as a Predictor

    Published: 23/05/2022
  2. Polarizing Trends in the Gig Economy

    Published: 16/05/2022
  3. Remote Learning in Applied Engineering

    Published: 12/05/2022
  4. Remote Productivity

    Published: 9/05/2022
  5. Does Remote Learning Work?

    Published: 1/05/2022
  6. Covid-19 Impact on Bicycle Usage

    Published: 25/04/2022
  7. Learning Digital Fabrication Remotely

    Published: 22/04/2022
  8. Remote Software Development

    Published: 18/04/2022
  9. Quantum K-Means

    Published: 11/04/2022
  10. K-Means in Practice

    Published: 4/04/2022
  11. Fair Hierarchical Clustering

    Published: 28/03/2022
  12. Matrix Factorization For k-Means

    Published: 21/03/2022
  13. Breathing K-Means

    Published: 14/03/2022
  14. Power K-Means

    Published: 7/03/2022
  15. Explainable K-Means

    Published: 3/03/2022
  16. Customer Clustering

    Published: 28/02/2022
  17. k-means Image Segmentation

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

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

    Published: 14/02/2022
  20. Snowflake Essentials

    Published: 7/02/2022

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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.

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