Data Skeptic
A podcast by Kyle Polich
Categories:
554 Episoade
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Understanding Neural Networks
Publicat: 08.05.2020 -
Self-Explaining AI
Publicat: 02.05.2020 -
Plastic Bag Bans
Publicat: 24.04.2020 -
Self Driving Cars and Pedestrians
Publicat: 18.04.2020 -
Computer Vision is Not Perfect
Publicat: 10.04.2020 -
Uncertainty Representations
Publicat: 04.04.2020 -
AlphaGo, COVID-19 Contact Tracing and New Data Set
Publicat: 28.03.2020 -
Visualizing Uncertainty
Publicat: 20.03.2020 -
Interpretability Tooling
Publicat: 13.03.2020 -
Shapley Values
Publicat: 06.03.2020 -
Anchors as Explanations
Publicat: 28.02.2020 -
Mathematical Models of Ecological Systems
Publicat: 22.02.2020 -
Adversarial Explanations
Publicat: 14.02.2020 -
ObjectNet
Publicat: 07.02.2020 -
Visualization and Interpretability
Publicat: 31.01.2020 -
Interpretable One Shot Learning
Publicat: 26.01.2020 -
Fooling Computer Vision
Publicat: 22.01.2020 -
Algorithmic Fairness
Publicat: 14.01.2020 -
Interpretability
Publicat: 07.01.2020 -
NLP in 2019
Publicat: 31.12.2019
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.