Data Skeptic

En podkast av Kyle Polich

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549 Episoder

  1. The Reliability of Mobile Phone Data

    Publisert: 13.6.2022
  2. Haywire Algorithms

    Publisert: 6.6.2022
  3. School Reopening Analysis

    Publisert: 30.5.2022
  4. Modern Data Stacks

    Publisert: 26.5.2022
  5. Emoji as a Predictor

    Publisert: 23.5.2022
  6. Polarizing Trends in the Gig Economy

    Publisert: 16.5.2022
  7. Remote Learning in Applied Engineering

    Publisert: 12.5.2022
  8. Remote Productivity

    Publisert: 9.5.2022
  9. Does Remote Learning Work?

    Publisert: 1.5.2022
  10. Covid-19 Impact on Bicycle Usage

    Publisert: 25.4.2022
  11. Learning Digital Fabrication Remotely

    Publisert: 22.4.2022
  12. Remote Software Development

    Publisert: 18.4.2022
  13. Quantum K-Means

    Publisert: 11.4.2022
  14. K-Means in Practice

    Publisert: 4.4.2022
  15. Fair Hierarchical Clustering

    Publisert: 28.3.2022
  16. Matrix Factorization For k-Means

    Publisert: 21.3.2022
  17. Breathing K-Means

    Publisert: 14.3.2022
  18. Power K-Means

    Publisert: 7.3.2022
  19. Explainable K-Means

    Publisert: 3.3.2022
  20. Customer Clustering

    Publisert: 28.2.2022

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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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