Data Skeptic

A podcast by Kyle Polich

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565 Episodes

  1. Prequisites for Time Series

    Published: 21/05/2021
  2. Orders of Magnitude

    Published: 7/05/2021
  3. They're Coming for Our Jobs

    Published: 3/05/2021
  4. Pandemic Machine Learning Pitfalls

    Published: 26/04/2021
  5. Flesch Kincaid Readability Tests

    Published: 19/04/2021
  6. Fairness Aware Outlier Detection

    Published: 9/04/2021
  7. Life May be Rare

    Published: 5/04/2021
  8. Social Networks

    Published: 29/03/2021
  9. The QAnon Conspiracy

    Published: 22/03/2021
  10. Benchmarking Vision on Edge vs Cloud

    Published: 15/03/2021
  11. Goodhart's Law in Reinforcement Learning

    Published: 5/03/2021
  12. Video Anomaly Detection

    Published: 1/03/2021
  13. Fault Tolerant Distributed Gradient Descent

    Published: 22/02/2021
  14. Decentralized Information Gathering

    Published: 15/02/2021
  15. Leaderless Consensus

    Published: 5/02/2021
  16. Automatic Summarization

    Published: 29/01/2021
  17. Gerrymandering

    Published: 22/01/2021
  18. Even Cooperative Chess is Hard

    Published: 15/01/2021
  19. Consecutive Votes in Paxos

    Published: 11/01/2021
  20. Visual Illusions Deceiving Neural Networks

    Published: 1/01/2021

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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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