Data Skeptic
Un pódcast de Kyle Polich - Lunes
Categorías:
555 Episodo
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Goodhart's Law in Reinforcement Learning
Publicado: 5/3/2021 -
Video Anomaly Detection
Publicado: 1/3/2021 -
Fault Tolerant Distributed Gradient Descent
Publicado: 22/2/2021 -
Decentralized Information Gathering
Publicado: 15/2/2021 -
Leaderless Consensus
Publicado: 5/2/2021 -
Automatic Summarization
Publicado: 29/1/2021 -
Gerrymandering
Publicado: 22/1/2021 -
Even Cooperative Chess is Hard
Publicado: 15/1/2021 -
Consecutive Votes in Paxos
Publicado: 11/1/2021 -
Visual Illusions Deceiving Neural Networks
Publicado: 1/1/2021 -
Earthquake Detection with Crowd-sourced Data
Publicado: 25/12/2020 -
Byzantine Fault Tolerant Consensus
Publicado: 22/12/2020 -
Alpha Fold
Publicado: 11/12/2020 -
Arrow's Impossibility Theorem
Publicado: 4/12/2020 -
Face Mask Sentiment Analysis
Publicado: 27/11/2020 -
Counting Briberies in Elections
Publicado: 20/11/2020 -
Sybil Attacks on Federated Learning
Publicado: 13/11/2020 -
Differential Privacy at the US Census
Publicado: 6/11/2020 -
Distributed Consensus
Publicado: 30/10/2020 -
ACID Compliance
Publicado: 23/10/2020
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.
