Data Skeptic
En podcast av Kyle Polich
592 Avsnitt
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Plastic Bag Bans
Publicerades: 2020-04-24 -
Self Driving Cars and Pedestrians
Publicerades: 2020-04-18 -
Computer Vision is Not Perfect
Publicerades: 2020-04-10 -
Uncertainty Representations
Publicerades: 2020-04-04 -
AlphaGo, COVID-19 Contact Tracing and New Data Set
Publicerades: 2020-03-28 -
Visualizing Uncertainty
Publicerades: 2020-03-20 -
Interpretability Tooling
Publicerades: 2020-03-13 -
Shapley Values
Publicerades: 2020-03-06 -
Anchors as Explanations
Publicerades: 2020-02-28 -
Mathematical Models of Ecological Systems
Publicerades: 2020-02-22 -
Adversarial Explanations
Publicerades: 2020-02-14 -
ObjectNet
Publicerades: 2020-02-07 -
Visualization and Interpretability
Publicerades: 2020-01-31 -
Interpretable One Shot Learning
Publicerades: 2020-01-26 -
Fooling Computer Vision
Publicerades: 2020-01-22 -
Algorithmic Fairness
Publicerades: 2020-01-14 -
Interpretability
Publicerades: 2020-01-07 -
NLP in 2019
Publicerades: 2019-12-31 -
The Limits of NLP
Publicerades: 2019-12-24 -
Jumpstart Your ML Project
Publicerades: 2019-12-15
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.
