Data Skeptic
Un podcast de Kyle Polich
Catégories:
549 Épisodes
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Voting Mechanisms
Publié: 31/08/2020 -
False Consensus
Publié: 24/08/2020 -
Fraud Detection in Real Time
Publié: 18/08/2020 -
Listener Survey Review
Publié: 11/08/2020 -
Human Computer Interaction and Online Privacy
Publié: 27/07/2020 -
Authorship Attribution of Lennon McCartney Songs
Publié: 20/07/2020 -
GANs Can Be Interpretable
Publié: 11/07/2020 -
Sentiment Preserving Fake Reviews
Publié: 06/07/2020 -
Interpretability Practitioners
Publié: 26/06/2020 -
Facial Recognition Auditing
Publié: 19/06/2020 -
Robust Fit to Nature
Publié: 12/06/2020 -
Black Boxes Are Not Required
Publié: 05/06/2020 -
Robustness to Unforeseen Adversarial Attacks
Publié: 30/05/2020 -
Estimating the Size of Language Acquisition
Publié: 22/05/2020 -
Interpretable AI in Healthcare
Publié: 15/05/2020 -
Understanding Neural Networks
Publié: 08/05/2020 -
Self-Explaining AI
Publié: 02/05/2020 -
Plastic Bag Bans
Publié: 24/04/2020 -
Self Driving Cars and Pedestrians
Publié: 18/04/2020 -
Computer Vision is Not Perfect
Publié: 10/04/2020
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.