Data Skeptic

Un podcast de Kyle Polich

Catégories:

549 Épisodes

  1. The Reliability of Mobile Phone Data

    Publié: 13/06/2022
  2. Haywire Algorithms

    Publié: 06/06/2022
  3. School Reopening Analysis

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

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

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

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

    Publié: 12/05/2022
  8. Remote Productivity

    Publié: 09/05/2022
  9. Does Remote Learning Work?

    Publié: 01/05/2022
  10. Covid-19 Impact on Bicycle Usage

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

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

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

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

    Publié: 04/04/2022
  15. Fair Hierarchical Clustering

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

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

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

    Publié: 07/03/2022
  19. Explainable K-Means

    Publié: 03/03/2022
  20. Customer Clustering

    Publié: 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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