Data Skeptic
Un pódcast de Kyle Polich - Lunes
Categorías:
555 Episodo
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Interpretable AI in Healthcare
Publicado: 15/5/2020 -
Understanding Neural Networks
Publicado: 8/5/2020 -
Self-Explaining AI
Publicado: 2/5/2020 -
Plastic Bag Bans
Publicado: 24/4/2020 -
Self Driving Cars and Pedestrians
Publicado: 18/4/2020 -
Computer Vision is Not Perfect
Publicado: 10/4/2020 -
Uncertainty Representations
Publicado: 4/4/2020 -
AlphaGo, COVID-19 Contact Tracing and New Data Set
Publicado: 28/3/2020 -
Visualizing Uncertainty
Publicado: 20/3/2020 -
Interpretability Tooling
Publicado: 13/3/2020 -
Shapley Values
Publicado: 6/3/2020 -
Anchors as Explanations
Publicado: 28/2/2020 -
Mathematical Models of Ecological Systems
Publicado: 22/2/2020 -
Adversarial Explanations
Publicado: 14/2/2020 -
ObjectNet
Publicado: 7/2/2020 -
Visualization and Interpretability
Publicado: 31/1/2020 -
Interpretable One Shot Learning
Publicado: 26/1/2020 -
Fooling Computer Vision
Publicado: 22/1/2020 -
Algorithmic Fairness
Publicado: 14/1/2020 -
Interpretability
Publicado: 7/1/2020
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.
