Data Skeptic
A podcast by Kyle Polich
Categories:
554 Episoade
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Defending the p-value
Publicat: 12.10.2020 -
Retraction Watch
Publicat: 05.10.2020 -
Crowdsourced Expertise
Publicat: 21.09.2020 -
The Spread of Misinformation Online
Publicat: 14.09.2020 -
Consensus Voting
Publicat: 07.09.2020 -
Voting Mechanisms
Publicat: 31.08.2020 -
False Consensus
Publicat: 24.08.2020 -
Fraud Detection in Real Time
Publicat: 18.08.2020 -
Listener Survey Review
Publicat: 11.08.2020 -
Human Computer Interaction and Online Privacy
Publicat: 27.07.2020 -
Authorship Attribution of Lennon McCartney Songs
Publicat: 20.07.2020 -
GANs Can Be Interpretable
Publicat: 11.07.2020 -
Sentiment Preserving Fake Reviews
Publicat: 06.07.2020 -
Interpretability Practitioners
Publicat: 26.06.2020 -
Facial Recognition Auditing
Publicat: 19.06.2020 -
Robust Fit to Nature
Publicat: 12.06.2020 -
Black Boxes Are Not Required
Publicat: 05.06.2020 -
Robustness to Unforeseen Adversarial Attacks
Publicat: 30.05.2020 -
Estimating the Size of Language Acquisition
Publicat: 22.05.2020 -
Interpretable AI in Healthcare
Publicat: 15.05.2020
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.