Making artificial intelligence practical, productive, and accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, etc). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!
A casual conversation concerning causal inference
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
- Lucy D'Agostino McGowan – Twitter, LinkedIn, Website
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Notes and Links
- Casual Inference Podcast
- Casual Inference Podcast | Twitter
- Communicating Complex Statistics (video)
- Communicating Complex Statistics (slides)
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