Dr. Emre Kiciman, Senior Principal Researcher at Microsoft Research joins the podcast to share his world-leading knowledge on causal machine learning.This episode is brought to you by Datalore (datalore.online/SDS)), the collaborative data science platform, and by Zencastr (zen.ai/sds)), the easiest way to make high-quality podcasts. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast) for sponsorship information.
In this episode you will learn:• What is causal machine learning? [5:52]• Causal machine learning vs correlational machine learning [10:10]• Emre’s DoWhy open-source library [16:17]• The four key steps of causal inference [21:24]• How and why Emre’s key steps of causal inference will impact ML [26:36]• Emre's thoughts on the future of causal inference and AGI [34:09]• How Emre leverages social media data to solve social problems [38:36]• What's next for Emre's research [46:02]• The software tools Emre highly recommends [55:16]• What he looks for in the data science researchers he hires [58:45]
Additional materials: www.superdatascience.com/613)
