Data Skeptic
Un pódcast de Kyle Polich
Categorías:
553 Episodo
-
Retraction Watch
Publicado: 5/10/2020 -
Crowdsourced Expertise
Publicado: 21/9/2020 -
The Spread of Misinformation Online
Publicado: 14/9/2020 -
Consensus Voting
Publicado: 7/9/2020 -
Voting Mechanisms
Publicado: 31/8/2020 -
False Consensus
Publicado: 24/8/2020 -
Fraud Detection in Real Time
Publicado: 18/8/2020 -
Listener Survey Review
Publicado: 11/8/2020 -
Human Computer Interaction and Online Privacy
Publicado: 27/7/2020 -
Authorship Attribution of Lennon McCartney Songs
Publicado: 20/7/2020 -
GANs Can Be Interpretable
Publicado: 11/7/2020 -
Sentiment Preserving Fake Reviews
Publicado: 6/7/2020 -
Interpretability Practitioners
Publicado: 26/6/2020 -
Facial Recognition Auditing
Publicado: 19/6/2020 -
Robust Fit to Nature
Publicado: 12/6/2020 -
Black Boxes Are Not Required
Publicado: 5/6/2020 -
Robustness to Unforeseen Adversarial Attacks
Publicado: 30/5/2020 -
Estimating the Size of Language Acquisition
Publicado: 22/5/2020 -
Interpretable AI in Healthcare
Publicado: 15/5/2020 -
Understanding Neural Networks
Publicado: 8/5/2020
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.