Data Skeptic
Podcast autorstwa Kyle Polich
Kategorie:
553 Odcinki
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Fault Tolerant Distributed Gradient Descent
Opublikowany: 22.02.2021 -
Decentralized Information Gathering
Opublikowany: 15.02.2021 -
Leaderless Consensus
Opublikowany: 5.02.2021 -
Automatic Summarization
Opublikowany: 29.01.2021 -
Gerrymandering
Opublikowany: 22.01.2021 -
Even Cooperative Chess is Hard
Opublikowany: 15.01.2021 -
Consecutive Votes in Paxos
Opublikowany: 11.01.2021 -
Visual Illusions Deceiving Neural Networks
Opublikowany: 1.01.2021 -
Earthquake Detection with Crowd-sourced Data
Opublikowany: 25.12.2020 -
Byzantine Fault Tolerant Consensus
Opublikowany: 22.12.2020 -
Alpha Fold
Opublikowany: 11.12.2020 -
Arrow's Impossibility Theorem
Opublikowany: 4.12.2020 -
Face Mask Sentiment Analysis
Opublikowany: 27.11.2020 -
Counting Briberies in Elections
Opublikowany: 20.11.2020 -
Sybil Attacks on Federated Learning
Opublikowany: 13.11.2020 -
Differential Privacy at the US Census
Opublikowany: 6.11.2020 -
Distributed Consensus
Opublikowany: 30.10.2020 -
ACID Compliance
Opublikowany: 23.10.2020 -
National Popular Vote Interstate Compact
Opublikowany: 16.10.2020 -
Defending the p-value
Opublikowany: 12.10.2020
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.