Data Skeptic
Ein Podcast von Kyle Polich
571 Folgen
-
Self Driving Cars and Pedestrians
Vom: 18.4.2020 -
Computer Vision is Not Perfect
Vom: 10.4.2020 -
Uncertainty Representations
Vom: 4.4.2020 -
AlphaGo, COVID-19 Contact Tracing and New Data Set
Vom: 28.3.2020 -
Visualizing Uncertainty
Vom: 20.3.2020 -
Interpretability Tooling
Vom: 13.3.2020 -
Shapley Values
Vom: 6.3.2020 -
Anchors as Explanations
Vom: 28.2.2020 -
Mathematical Models of Ecological Systems
Vom: 22.2.2020 -
Adversarial Explanations
Vom: 14.2.2020 -
ObjectNet
Vom: 7.2.2020 -
Visualization and Interpretability
Vom: 31.1.2020 -
Interpretable One Shot Learning
Vom: 26.1.2020 -
Fooling Computer Vision
Vom: 22.1.2020 -
Algorithmic Fairness
Vom: 14.1.2020 -
Interpretability
Vom: 7.1.2020 -
NLP in 2019
Vom: 31.12.2019 -
The Limits of NLP
Vom: 24.12.2019 -
Jumpstart Your ML Project
Vom: 15.12.2019 -
Serverless NLP Model Training
Vom: 10.12.2019
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.
