Data Skeptic
A podcast by Kyle Polich - Lunedì
Categorie:
555 Episodio
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Goodhart's Law in Reinforcement Learning
Pubblicato: 05/03/2021 -
Video Anomaly Detection
Pubblicato: 01/03/2021 -
Fault Tolerant Distributed Gradient Descent
Pubblicato: 22/02/2021 -
Decentralized Information Gathering
Pubblicato: 15/02/2021 -
Leaderless Consensus
Pubblicato: 05/02/2021 -
Automatic Summarization
Pubblicato: 29/01/2021 -
Gerrymandering
Pubblicato: 22/01/2021 -
Even Cooperative Chess is Hard
Pubblicato: 15/01/2021 -
Consecutive Votes in Paxos
Pubblicato: 11/01/2021 -
Visual Illusions Deceiving Neural Networks
Pubblicato: 01/01/2021 -
Earthquake Detection with Crowd-sourced Data
Pubblicato: 25/12/2020 -
Byzantine Fault Tolerant Consensus
Pubblicato: 22/12/2020 -
Alpha Fold
Pubblicato: 11/12/2020 -
Arrow's Impossibility Theorem
Pubblicato: 04/12/2020 -
Face Mask Sentiment Analysis
Pubblicato: 27/11/2020 -
Counting Briberies in Elections
Pubblicato: 20/11/2020 -
Sybil Attacks on Federated Learning
Pubblicato: 13/11/2020 -
Differential Privacy at the US Census
Pubblicato: 06/11/2020 -
Distributed Consensus
Pubblicato: 30/10/2020 -
ACID Compliance
Pubblicato: 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.