Data Skeptic

Un pódcast de Kyle Polich

Categorías:

553 Episodo

  1. Privacy Preference Signals

    Publicado: 4/7/2022
  2. Neural Architecture Search for CTR Prediction

    Publicado: 27/6/2022
  3. Algorithmic PPC Management

    Publicado: 21/6/2022
  4. Data Skeptic: Ad Tech

    Publicado: 18/6/2022
  5. The Reliability of Mobile Phone Data

    Publicado: 13/6/2022
  6. Haywire Algorithms

    Publicado: 6/6/2022
  7. School Reopening Analysis

    Publicado: 30/5/2022
  8. Modern Data Stacks

    Publicado: 26/5/2022
  9. Emoji as a Predictor

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

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

    Publicado: 12/5/2022
  12. Remote Productivity

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

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

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

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

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

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

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

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

    Publicado: 21/3/2022

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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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