Data Skeptic

Un pódcast de Kyle Polich

Categorías:

553 Episodo

  1. Fault Tolerant Distributed Gradient Descent

    Publicado: 22/2/2021
  2. Decentralized Information Gathering

    Publicado: 15/2/2021
  3. Leaderless Consensus

    Publicado: 5/2/2021
  4. Automatic Summarization

    Publicado: 29/1/2021
  5. Gerrymandering

    Publicado: 22/1/2021
  6. Even Cooperative Chess is Hard

    Publicado: 15/1/2021
  7. Consecutive Votes in Paxos

    Publicado: 11/1/2021
  8. Visual Illusions Deceiving Neural Networks

    Publicado: 1/1/2021
  9. Earthquake Detection with Crowd-sourced Data

    Publicado: 25/12/2020
  10. Byzantine Fault Tolerant Consensus

    Publicado: 22/12/2020
  11. Alpha Fold

    Publicado: 11/12/2020
  12. Arrow's Impossibility Theorem

    Publicado: 4/12/2020
  13. Face Mask Sentiment Analysis

    Publicado: 27/11/2020
  14. Counting Briberies in Elections

    Publicado: 20/11/2020
  15. Sybil Attacks on Federated Learning

    Publicado: 13/11/2020
  16. Differential Privacy at the US Census

    Publicado: 6/11/2020
  17. Distributed Consensus

    Publicado: 30/10/2020
  18. ACID Compliance

    Publicado: 23/10/2020
  19. National Popular Vote Interstate Compact

    Publicado: 16/10/2020
  20. Defending the p-value

    Publicado: 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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