Data Skeptic

Podcast autorstwa Kyle Polich

Kategorie:

553 Odcinki

  1. Fault Tolerant Distributed Gradient Descent

    Opublikowany: 22.02.2021
  2. Decentralized Information Gathering

    Opublikowany: 15.02.2021
  3. Leaderless Consensus

    Opublikowany: 5.02.2021
  4. Automatic Summarization

    Opublikowany: 29.01.2021
  5. Gerrymandering

    Opublikowany: 22.01.2021
  6. Even Cooperative Chess is Hard

    Opublikowany: 15.01.2021
  7. Consecutive Votes in Paxos

    Opublikowany: 11.01.2021
  8. Visual Illusions Deceiving Neural Networks

    Opublikowany: 1.01.2021
  9. Earthquake Detection with Crowd-sourced Data

    Opublikowany: 25.12.2020
  10. Byzantine Fault Tolerant Consensus

    Opublikowany: 22.12.2020
  11. Alpha Fold

    Opublikowany: 11.12.2020
  12. Arrow's Impossibility Theorem

    Opublikowany: 4.12.2020
  13. Face Mask Sentiment Analysis

    Opublikowany: 27.11.2020
  14. Counting Briberies in Elections

    Opublikowany: 20.11.2020
  15. Sybil Attacks on Federated Learning

    Opublikowany: 13.11.2020
  16. Differential Privacy at the US Census

    Opublikowany: 6.11.2020
  17. Distributed Consensus

    Opublikowany: 30.10.2020
  18. ACID Compliance

    Opublikowany: 23.10.2020
  19. National Popular Vote Interstate Compact

    Opublikowany: 16.10.2020
  20. Defending the p-value

    Opublikowany: 12.10.2020

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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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