Data Skeptic

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.

Eine durchschnittliche Folge dieses Podcasts dauert 26m. Bisher sind 328 Folge(n) erschienen. Dieser Podcast erscheint wöchentlich

recommended podcasts


 2020-03-13  42m

Shapley Values

Kyle and Linhda discuss how Shapley Values might be a good tool for determining what makes the cut for a home renovation.


 2020-03-06  20m

 2020-02-28  37m

 2020-02-22  36m

Adversarial Explanations

Walt Woods joins us to discuss his paper  with co-authors Jack Chen and Christof Teuscher.


 2020-02-14  36m


 joins us to discuss  - a new kind of vision dataset. In contrast to ImageNet, ObjectNet seeks to provide images that are more representative of the types of images an autonomous machine is likely to encounter in the real world....


 2020-02-07  38m

Visualization and Interpretability

 joins us to discuss how data visualization can be used to help make machine learning more interpretable and explainable. Find out more about Enrico at . More from Enrico with co-host Moritz Stefaner on the  podcast!


 2020-01-31  35m

Interpretable One Shot Learning

We welcome  back to Data Skeptic to discuss the paper .


 2020-01-26  30m

Fooling Computer Vision

joins us to talk about a project in which specially designed printed images can fool a computer vision system, preventing it from identifying a person.  Their attack targets the popular YOLO2 pre-trained image recognition model, and thus, is...


 2020-01-22  25m

Algorithmic Fairness

This episode includes an interview with Aaron Roth author of .


 2020-01-14  42m