Data Skeptic
Un podcast de Kyle Polich
Catégories:
549 Épisodes
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Uncertainty Representations
Publié: 04/04/2020 -
AlphaGo, COVID-19 Contact Tracing and New Data Set
Publié: 28/03/2020 -
Visualizing Uncertainty
Publié: 20/03/2020 -
Interpretability Tooling
Publié: 13/03/2020 -
Shapley Values
Publié: 06/03/2020 -
Anchors as Explanations
Publié: 28/02/2020 -
Mathematical Models of Ecological Systems
Publié: 22/02/2020 -
Adversarial Explanations
Publié: 14/02/2020 -
ObjectNet
Publié: 07/02/2020 -
Visualization and Interpretability
Publié: 31/01/2020 -
Interpretable One Shot Learning
Publié: 26/01/2020 -
Fooling Computer Vision
Publié: 22/01/2020 -
Algorithmic Fairness
Publié: 14/01/2020 -
Interpretability
Publié: 07/01/2020 -
NLP in 2019
Publié: 31/12/2019 -
The Limits of NLP
Publié: 24/12/2019 -
Jumpstart Your ML Project
Publié: 15/12/2019 -
Serverless NLP Model Training
Publié: 10/12/2019 -
Team Data Science Process
Publié: 03/12/2019 -
Ancient Text Restoration
Publié: 01/12/2019
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.