Data Skeptic

A podcast by Kyle Polich

Categories:

549 Episodes

  1. The Reliability of Mobile Phone Data

    Published: 13/06/2022
  2. Haywire Algorithms

    Published: 6/06/2022
  3. School Reopening Analysis

    Published: 30/05/2022
  4. Modern Data Stacks

    Published: 26/05/2022
  5. Emoji as a Predictor

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

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

    Published: 12/05/2022
  8. Remote Productivity

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

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

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

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

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

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

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

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

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

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

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

    Published: 3/03/2022
  20. Customer Clustering

    Published: 28/02/2022

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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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