Data Skeptic

Un pódcast de Kyle Polich - Lunes

Lunes

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555 Episodo

  1. Bike Share Demand Forecasting

    Publicado: 6/12/2021
  2. Forecasting in Supply Chain

    Publicado: 29/11/2021
  3. Black Friday

    Publicado: 26/11/2021
  4. Aligning Time Series on Incomparable Spaces

    Publicado: 22/11/2021
  5. Comparing Time Series with HCTSA

    Publicado: 15/11/2021
  6. Change Point Detection Algorithms

    Publicado: 8/11/2021
  7. Time Series for Good

    Publicado: 1/11/2021
  8. Long Term Time Series Forecasting

    Publicado: 25/10/2021
  9. Fast and Frugal Time Series Forecasting

    Publicado: 17/10/2021
  10. Causal Inference in Educational Systems

    Publicado: 11/10/2021
  11. Boosted Embeddings for Time Series

    Publicado: 4/10/2021
  12. Change Point Detection in Continuous Integration Systems

    Publicado: 27/9/2021
  13. Applying k-Nearest Neighbors to Time Series

    Publicado: 20/9/2021
  14. Ultra Long Time Series

    Publicado: 13/9/2021
  15. MiniRocket

    Publicado: 6/9/2021
  16. ARiMA is not Sufficient

    Publicado: 30/8/2021
  17. Comp Engine

    Publicado: 23/8/2021
  18. Detecting Ransomware

    Publicado: 16/8/2021
  19. GANs in Finance

    Publicado: 9/8/2021
  20. Predicting Urban Land Use

    Publicado: 2/8/2021

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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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