Data Skeptic

A podcast by Kyle Polich

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554 Episoade

  1. Video Anomaly Detection

    Publicat: 01.03.2021
  2. Fault Tolerant Distributed Gradient Descent

    Publicat: 22.02.2021
  3. Decentralized Information Gathering

    Publicat: 15.02.2021
  4. Leaderless Consensus

    Publicat: 05.02.2021
  5. Automatic Summarization

    Publicat: 29.01.2021
  6. Gerrymandering

    Publicat: 22.01.2021
  7. Even Cooperative Chess is Hard

    Publicat: 15.01.2021
  8. Consecutive Votes in Paxos

    Publicat: 11.01.2021
  9. Visual Illusions Deceiving Neural Networks

    Publicat: 01.01.2021
  10. Earthquake Detection with Crowd-sourced Data

    Publicat: 25.12.2020
  11. Byzantine Fault Tolerant Consensus

    Publicat: 22.12.2020
  12. Alpha Fold

    Publicat: 11.12.2020
  13. Arrow's Impossibility Theorem

    Publicat: 04.12.2020
  14. Face Mask Sentiment Analysis

    Publicat: 27.11.2020
  15. Counting Briberies in Elections

    Publicat: 20.11.2020
  16. Sybil Attacks on Federated Learning

    Publicat: 13.11.2020
  17. Differential Privacy at the US Census

    Publicat: 06.11.2020
  18. Distributed Consensus

    Publicat: 30.10.2020
  19. ACID Compliance

    Publicat: 23.10.2020
  20. National Popular Vote Interstate Compact

    Publicat: 16.10.2020

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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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