Data Skeptic is a data science podcast exploring machine learning, statistics, artificial intelligence, and other data topics through short tutorials and interviews with domain experts.
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Frank Mollica joins us to discuss the paper Humans store about 1.5 megabytes of information during language acquisition
Jayaraman Thiagarajan joins us to discuss the recent paper Calibrating Healthcare AI: Towards Reliable and Interpretable Deep Predictive Models.
What does it mean to understand a neural network? That’s the question posted on this arXiv paper. Kyle speaks with Tim Lillicrap about this and several other big questions.
Dan Elton joins us to discuss self-explaining AI. What could be better than an interpretable model? How about a model wich explains itself in a conversational way, engaging in a back and forth with the user. We discuss the paper Self-explaining AI as an alternative to interpretable AI which presents a framework for self-explainging AI. ...
Becca Taylor joins us to discuss her work studying the impact of plastic bag bans as published in Bag Leakage: The Effect of Disposable Carryout Bag Regulations on Unregulated Bags from the Journal of Environmental Economics and Management. How does one measure the impact of these bans? Are they achieving their intended goals? Join us and find out!
We are joined by Arash Kalatian to discuss Decoding pedestrian and automated vehicle interactions using immersive virtual reality and interpretable deep learning.
Computer Vision is not Perfect Julia Evans joins us help answer the question why do neural networks think a panda is a vulture. Kyle talks to Julia about her hands-on work fooling neural networks. Julia runs Wizard Zines which publishes...
Uncertainty Representations Jessica Hullman joins us to share her expertise on data visualization and communication of data in the media. We discuss Jessica's work interviewing and researching visualization designers on techniques for conveying uncertainty. http://users.eecs.northwestern.edu/~jhullman/
Uncertainty Representations Jessica Hullman joins us to share her expertise on data visualization and communication of data in the media. We discuss Jessica's work interviewing and researching visualization designers on techniques for conveying uncertainty. http://users.eecs.northwestern.edu/~jhullman/
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