Data Skeptic

A podcast by Kyle Polich - Lunedì

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555 Episodio

  1. Goodhart's Law in Reinforcement Learning

    Pubblicato: 05/03/2021
  2. Video Anomaly Detection

    Pubblicato: 01/03/2021
  3. Fault Tolerant Distributed Gradient Descent

    Pubblicato: 22/02/2021
  4. Decentralized Information Gathering

    Pubblicato: 15/02/2021
  5. Leaderless Consensus

    Pubblicato: 05/02/2021
  6. Automatic Summarization

    Pubblicato: 29/01/2021
  7. Gerrymandering

    Pubblicato: 22/01/2021
  8. Even Cooperative Chess is Hard

    Pubblicato: 15/01/2021
  9. Consecutive Votes in Paxos

    Pubblicato: 11/01/2021
  10. Visual Illusions Deceiving Neural Networks

    Pubblicato: 01/01/2021
  11. Earthquake Detection with Crowd-sourced Data

    Pubblicato: 25/12/2020
  12. Byzantine Fault Tolerant Consensus

    Pubblicato: 22/12/2020
  13. Alpha Fold

    Pubblicato: 11/12/2020
  14. Arrow's Impossibility Theorem

    Pubblicato: 04/12/2020
  15. Face Mask Sentiment Analysis

    Pubblicato: 27/11/2020
  16. Counting Briberies in Elections

    Pubblicato: 20/11/2020
  17. Sybil Attacks on Federated Learning

    Pubblicato: 13/11/2020
  18. Differential Privacy at the US Census

    Pubblicato: 06/11/2020
  19. Distributed Consensus

    Pubblicato: 30/10/2020
  20. ACID Compliance

    Pubblicato: 23/10/2020

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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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