Data Skeptic

Un pódcast de Kyle Polich

Categorías:

565 Episodo

  1. Emoji as a Predictor

    Publicado: 23/5/2022
  2. Polarizing Trends in the Gig Economy

    Publicado: 16/5/2022
  3. Remote Learning in Applied Engineering

    Publicado: 12/5/2022
  4. Remote Productivity

    Publicado: 9/5/2022
  5. Does Remote Learning Work?

    Publicado: 1/5/2022
  6. Covid-19 Impact on Bicycle Usage

    Publicado: 25/4/2022
  7. Learning Digital Fabrication Remotely

    Publicado: 22/4/2022
  8. Remote Software Development

    Publicado: 18/4/2022
  9. Quantum K-Means

    Publicado: 11/4/2022
  10. K-Means in Practice

    Publicado: 4/4/2022
  11. Fair Hierarchical Clustering

    Publicado: 28/3/2022
  12. Matrix Factorization For k-Means

    Publicado: 21/3/2022
  13. Breathing K-Means

    Publicado: 14/3/2022
  14. Power K-Means

    Publicado: 7/3/2022
  15. Explainable K-Means

    Publicado: 3/3/2022
  16. Customer Clustering

    Publicado: 28/2/2022
  17. k-means Image Segmentation

    Publicado: 22/2/2022
  18. Tracking Elephant Clusters

    Publicado: 18/2/2022
  19. k-means clustering

    Publicado: 14/2/2022
  20. Snowflake Essentials

    Publicado: 7/2/2022

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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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