Causal AI, Modularity & Learning || Andrew Lawrence || Causal Bandits Ep. 002 (2023)

Support the show`from causality import solution`Recorded on Sep 04, 2023 in London, United KingdomA Python package that would allow us to address an arbitrary causal problem with a one-liner does not yet exist.Fortunately, there are other ways to implement and deploy causal solutions at scale. In this episode, Andrew shares his journey into causality and gives us a glimpse into the behind-the-scenes of his everyday work at causaLens. We discuss new ideas that Andrew and his team use to enhance the capabilities of available open-source causal packages, how they strive to build and maintain a highly modularized and open platform. Finally, we talk about the importance of team work and what Andrew's parents did to make him feel nurtured & supported. Ready? About The GuestAndrew Lawrence is the Director of Research at causaLens (https://causalens.com/) Connect with Andrew: Andrew on LinkedIn: https://www.linkedin.com/in/andrew-r-lawrence/ About The HostAleksander (Alex) Molak is an independent ML researcher, educator, entrepreneur and a best-selling author in the area of causality.Connect with Alex: Alex on the Internet: https://bit.ly/aleksander-molakLinksCode and BlogsDARA open-source framework (https://bit.ly/3Ql1VhF) causaLens GitHub (https://bit.ly/3QmoUJz) causaLens Blog (https://bit.ly/46TieJF) VideosBrady Neal Introduction to CausalityBooksBishop (2006) - Pattern Recognition and Machine Learning Molak (2023) - Causal Inference and Discovery in PythonPearl & Mackenzie (2019) - The Book of Why Peters et al (2017) - Elements of Causal Inference PaSupport the Show.Causal Bandits PodcastCausal AI || Causal Machine Learning || Causal Inference & DiscoveryWeb: https://causalbanditspodcast.comConnect on LinkedIn: https://www.linkedin.com/in/aleksandermolak/Join Causal Python Weekly: https://causalpython.io The Causal Book: https://amzn.to/3QhsRz4