Data Skeptic
A podcast by Kyle Polich
Categories:
540 Episodes
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Facial Recognition Auditing
Published: 6/19/2020 -
Robust Fit to Nature
Published: 6/12/2020 -
Black Boxes Are Not Required
Published: 6/5/2020 -
Robustness to Unforeseen Adversarial Attacks
Published: 5/30/2020 -
Estimating the Size of Language Acquisition
Published: 5/22/2020 -
Interpretable AI in Healthcare
Published: 5/15/2020 -
Understanding Neural Networks
Published: 5/8/2020 -
Self-Explaining AI
Published: 5/2/2020 -
Plastic Bag Bans
Published: 4/24/2020 -
Self Driving Cars and Pedestrians
Published: 4/18/2020 -
Computer Vision is Not Perfect
Published: 4/10/2020 -
Uncertainty Representations
Published: 4/4/2020 -
AlphaGo, COVID-19 Contact Tracing and New Data Set
Published: 3/28/2020 -
Visualizing Uncertainty
Published: 3/20/2020 -
Interpretability Tooling
Published: 3/13/2020 -
Shapley Values
Published: 3/6/2020 -
Anchors as Explanations
Published: 2/28/2020 -
Mathematical Models of Ecological Systems
Published: 2/22/2020 -
Adversarial Explanations
Published: 2/14/2020 -
ObjectNet
Published: 2/7/2020
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.