Data Skeptic

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.

https://dataskeptic.com

Eine durchschnittliche Folge dieses Podcasts dauert 27m. Bisher sind 350 Folge(n) erschienen. Jede Woche gibt es eine neue Folge dieses Podcasts.

Gesamtlänge aller Episoden: 6 days 14 hours 56 minutes

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Even Cooperative Chess is Hard


Asside from victory questions like “can black force a checkmate on white in 5 moves?” many novel questions can be asked about a game of chess. Some questions are trivial (e.g. “How many pieces does white have?") while more computationally...


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Consecutive Votes in Paxos


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Visual Illusions Deceiving Neural Networks


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Earthquake Detection with Crowd-sourced Data


Omkar Ranadive and Suzan van der Lee join us to discuss the recent paper .


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Byzantine Fault Tolerant Consensus


Byzantine fault tolerance (BFT) is a desirable property in a distributed computing environment. BFT means the system can survive the loss of nodes and nodes becoming unreliable. There are many different protocols for achieving BFT, though not all...


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Alpha Fold


Kyle shared some initial reactions to the announcement about Alpha Fold 2's celebrated performance in the CASP14 prediction.  By many accounts, this exciting result means protein folding is now a solved problem.


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Arrow's Impossibility Theorem


Above all everyone wants voting to be fair. What does fair mean and how can we measure it? Kenneth Arrow posited a simple set of conditions that one would certainly desire in a voting system. For example, unanimity - if everyone picks candidate A,...


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Face Mask Sentiment Analysis


As the COVID-19 pandemic continues, the public (or at least those with Twitter accounts) are sharing their personal opinions about mask-wearing via Twitter. What does this data tell us about public opinion? How does it vary by demographic? What, if...


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Counting Briberies in Elections


Niclas Boehmer, second year PhD student at Berlin Institute of Technology, comes on today to discuss the computational complexity of bribery in elections through the paper “On the Robustness of Winners: Counting Briberies in Elections.” Links...


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Sybil Attacks on Federated Learning


Clement Fung joins us to discuss sybil attacks on federated learning.


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