#CausalMachineLearning #CausalInference #DoWhyOpenSource 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, https://datalore.online/SDS, the collaborative data science platform, and by Zencastr, http://zen.ai/sds, the easiest way to make high-quality podcasts. Interested in sponsoring a SuperDataScience Podcast episode? Visit https://www.jonkrohn.com/podcast for sponsorship information. In this episode you will learn: • What is causal machine learning? [3:40] • Causal machine learning vs correlational machine learning [8:36] • Emre’s DoWhy open-source library [14:42] • The four key steps of causal inference [19:49] • How and why Emre’s key steps of causal inference will impact ML [25:02] • Emre's thoughts on the future of causal inference and AGI [32:40] • How Emre leverages social media data to solve social problems [36:49] • What's next for Emre's research [44:15] • The software tools Emre highly recommends [53:19] • What he looks for in the data science researchers he hires [56:55] Additional materials: https://www.superdatascience.com/613