EPISODE · Apr 4, 2020 · 39 MIN
Uncertainty Representations
from Data Skeptic
Jessica Hullman joins us to share her expertise on data visualization and communication of data in the media. We discuss Jessica's work on visualizing uncertainty, interviewing visualization designers on why they don't visualize uncertainty, and modeling interactions with visualizations as Bayesian updates. Homepage: http://users.eecs.northwestern.edu/~jhullman/ Lab: MU Collective
Embed this episode
Ready to play
Uncertainty Representations
0:00
39:48
1×
No transcript for this episode yet
Similar Episodes
No similar episodes found.
Similar Podcasts
AI Daily News Podcast
Really Easy AI
AI Daily News: Your premier source for cutting-edge artificial intelligence updates! Dive into the world of machine learning, deep learning, and data science with our daily tech briefings. From neural networks to natural language processing, we cover groundbreaking AI research, innovative applications, and industry trends. Explore the latest in computer vision, robotics, autonomous systems, and the Internet of Things. Stay informed on AI ethics, machine learning algorithms, and the transformative impact of AI on business, healthcare, and society. https://www.youtube.com/@AINewsFresh
Gytis Tech Podcast
Inretio
Data professional and tech enthusiast from Lithuania, covering tech topics including open source software, smart home automation, web development, automotive diagnostics and more.
Frequently Asked Questions
How long is this episode of Data Skeptic?
This episode is 39 minutes long.
When was this Data Skeptic episode published?
This episode was published on April 4, 2020.
Can I download this Data Skeptic episode?
Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!