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A casual conversation concerning causal inference
Podcast |
Practical AI: Machine Learning, Data Science
Publisher |
Changelog Media
Media Type |
audio
Podknife tags |
Artificial Intelligence, 
Business, 
Data Science, 
Interview, 
Machine Learning, 
Tech News, 
Technology
Categories Via RSS |
Software How-To, 
Tech News, 
Technology
Publication Date |
Nov 24, 2020
Episode Duration |
00:51:27
Lucy D’Agostino McGowan, cohost of the Casual Inference Podcast and a professor at Wake Forest University, joins Daniel and Chris for a deep dive into causal inference. Referring to current events (e.g. misreporting of COVID-19 data in Georgia) as examples, they explore how we interact with, analyze, trust, and interpret data - addressing underlying assumptions, counterfactual frameworks, and unmeasured confounders (Chris’s next Halloween costume).
Lucy D’Agostino McGowan, cohost of the Casual Inference Podcast and a professor at Wake Forest University, joins Daniel and Chris for a deep dive into causal inference. Referring to current events (e.g. misreporting of COVID-19 data in Georgia) as examples, they explore how we interact with, analyze, trust, and interpret data - addressing underlying assumptions, counterfactual frameworks, and unmeasured confounders (Chris’s next Halloween costume).

Lucy D’Agostino McGowan, cohost of the Casual Inference Podcast and a professor at Wake Forest University, joins Daniel and Chris for a deep dive into causal inference. Referring to current events (e.g. misreporting of COVID-19 data in Georgia) as examples, they explore how we interact with, analyze, trust, and interpret data - addressing underlying assumptions, counterfactual frameworks, and unmeasured confounders (Chris’s next Halloween costume).

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Featuring:

Show Notes:

Practical AI is a “Media Sponsor” of the R Conference | Government & Public Sector, where Lucy D’Agostino McGowan is giving the talk with Malcolm Barrett called “Causal Inference in R”, as well as a workshop with the same title.

This will be the first ever R Conference focused on data science work in government, defense, and the public sector.

Practical AI listeners get a special discount code valid for 20% off all ticket types, General & Academic Admission and workshops:

PRACTICALAI20

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