Eyal Kazin – 🧠🧹 Causality – Mental Hygiene for Data Science | PyData Global 2024
www.pydata.org
To apply or not to apply, that is the question.
Causal reasoning elevates predictive outcomes by shifting from “what happened” to “what would happen if”. Yet, implementing causality can be challenging or even infeasible in some contexts. This talk explores how the very act of assessing its applicability can add value to your projects. Through a gentle introduction to causal inference tools and practical use cases, you will learn how to bring greater scientific rigour to real-world problems.
Target audience: Practicing and aspiring data scientists, machine learning engineers, and analysts looking to improve their decision-making with causal inference.
No prior knowledge is assumed.
For the seasoned practitioners I hope to shine light on aspects that may not have been considered. 💡
Can’t make the talk? Read all about it in my new TDS article: 🧠🧹 Causality — Mental Hygiene for Data Science (https://bit.ly/causal-mental-hygiene)
PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.
PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.
Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps
