Data Skeptic
En podkast av Kyle Polich
Kategorier:
549 Episoder
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Voting Mechanisms
Publisert: 31.8.2020 -
False Consensus
Publisert: 24.8.2020 -
Fraud Detection in Real Time
Publisert: 18.8.2020 -
Listener Survey Review
Publisert: 11.8.2020 -
Human Computer Interaction and Online Privacy
Publisert: 27.7.2020 -
Authorship Attribution of Lennon McCartney Songs
Publisert: 20.7.2020 -
GANs Can Be Interpretable
Publisert: 11.7.2020 -
Sentiment Preserving Fake Reviews
Publisert: 6.7.2020 -
Interpretability Practitioners
Publisert: 26.6.2020 -
Facial Recognition Auditing
Publisert: 19.6.2020 -
Robust Fit to Nature
Publisert: 12.6.2020 -
Black Boxes Are Not Required
Publisert: 5.6.2020 -
Robustness to Unforeseen Adversarial Attacks
Publisert: 30.5.2020 -
Estimating the Size of Language Acquisition
Publisert: 22.5.2020 -
Interpretable AI in Healthcare
Publisert: 15.5.2020 -
Understanding Neural Networks
Publisert: 8.5.2020 -
Self-Explaining AI
Publisert: 2.5.2020 -
Plastic Bag Bans
Publisert: 24.4.2020 -
Self Driving Cars and Pedestrians
Publisert: 18.4.2020 -
Computer Vision is Not Perfect
Publisert: 10.4.2020
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.