Dominik shares the story and principles behind Vega and Vega-Lite, and explains how visualization and machine learning help each other.

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Dominik is a co-author of Vega-Lite, a high-level visualization grammar for building interactive plots. He's also a professor at the Human-Computer Interaction Institute Institute at Carnegie Mellon University and an ML researcher at Apple.

Connect with Dominik

Twitter: https://twitter.com/domoritz

GitHub: https://github.com/domoritz

Personal website: https://www.domoritz.de/

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0:00 Sneak peek, intro

1:15 What is Vega-Lite?

5:39 The grammar of graphics

9:00 Using visualizations creatively

11:36 Vega vs Vega-Lite

16:03 ggplot2 and machine learning

18:39 Voyager and the challenges of scale

24:54 Model explainability and visualizations

31:24 Underrated topics: constraints and visualization theory

34:38 The challenge of metrics in deployment

36:54 In between aggregate statistics and individual examples

Links Discussed

Vega-Lite: https://vega.github.io/vega-lite/

Data analysis and statistics: an expository overview (Tukey and Wilk, 1966): https://dl.acm.org/doi/10.1145/1464291.1464366

Slope chart / slope graph: https://vega.github.io/vega-lite/examples/line_slope.html

Voyager: https://github.com/vega/voyager

Draco: https://github.com/uwdata/draco

Check out the transcription and discover more awesome ML projects:

http://wandb.me/gd-domink-moritz

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