Data Skeptic
En podkast av Kyle Polich
Kategorier:
549 Episoder
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Uncertainty Representations
Publisert: 4.4.2020 -
AlphaGo, COVID-19 Contact Tracing and New Data Set
Publisert: 28.3.2020 -
Visualizing Uncertainty
Publisert: 20.3.2020 -
Interpretability Tooling
Publisert: 13.3.2020 -
Shapley Values
Publisert: 6.3.2020 -
Anchors as Explanations
Publisert: 28.2.2020 -
Mathematical Models of Ecological Systems
Publisert: 22.2.2020 -
Adversarial Explanations
Publisert: 14.2.2020 -
ObjectNet
Publisert: 7.2.2020 -
Visualization and Interpretability
Publisert: 31.1.2020 -
Interpretable One Shot Learning
Publisert: 26.1.2020 -
Fooling Computer Vision
Publisert: 22.1.2020 -
Algorithmic Fairness
Publisert: 14.1.2020 -
Interpretability
Publisert: 7.1.2020 -
NLP in 2019
Publisert: 31.12.2019 -
The Limits of NLP
Publisert: 24.12.2019 -
Jumpstart Your ML Project
Publisert: 15.12.2019 -
Serverless NLP Model Training
Publisert: 10.12.2019 -
Team Data Science Process
Publisert: 3.12.2019 -
Ancient Text Restoration
Publisert: 1.12.2019
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.