Data Skeptic

Un pódcast de Kyle Polich

Categorías:

565 Episodo

  1. Explainable Climate Science

    Publicado: 31/1/2022
  2. Energy Forecasting Pipelines

    Publicado: 24/1/2022
  3. Matrix Profiles in Stumpy

    Publicado: 17/1/2022
  4. The Great Australian Prediction Project

    Publicado: 14/1/2022
  5. Water Demand Forecasting

    Publicado: 10/1/2022
  6. Open Telemetry

    Publicado: 3/1/2022
  7. Fashion Predictions

    Publicado: 27/12/2021
  8. Time Series Mini Episodes

    Publicado: 25/12/2021
  9. Forecasting Motor Vehicle Collision

    Publicado: 20/12/2021
  10. Deep Learning for Road Traffic Forecasting

    Publicado: 13/12/2021
  11. Bike Share Demand Forecasting

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

    Publicado: 29/11/2021
  13. Black Friday

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

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

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

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

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

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

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

    Publicado: 11/10/2021

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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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