Regression and Matching | Causal Inference in Data Science Part 1 скачать в хорошем качестве

Regression and Matching | Causal Inference in Data Science Part 1

In this video, I have invited my friend Yuan for a mini course on application of Causal Inference in tech companies. This is going to be a video series. In this video, we are going to focus on the methods of Regression and Matching. 📃Yuan's blog post on causal inference https://www.yuan-meng.com/posts/causa... 📚References recommended by Yuan Huntington-Klein, N. (2021). The effect. Routledge. Rohrer, J. M. (2018). Thinking clearly about correlations and causation: Graphical causal models for observational data. Advances in Methods and Practices in Psychological Science, 1(1), 27-42. Taylor, S. (2021, July 15). When do we actually need causal inference?. Lander Analytics.    • Sean Taylor - When do we actually need cau...   A/B Testing Pitfalls    • A/B Testing Mistakes to Avoid in Your Data...   🟢Get all my free data science interview resources https://www.emmading.com/resources 🟡 Product Case Interview Cheatsheet https://www.emmading.com/product-case... 🟠 Statistics Interview Cheatsheet https://www.emmading.com/statistics-i... 🟣 Behavioral Interview Cheatsheet https://www.emmading.com/behavioral-i... 🔵 Data Science Resume Checklist https://www.emmading.com/data-science... ✅ We work with Experienced Data Scientists to help them land their next dream jobs. Apply now: https://www.emmading.com/coaching // Comment Got any questions? Something to add? Write a comment below to chat. // Let's connect on LinkedIn:   / emmading001   ==================== Contents of this video: ==================== 00:00 Topic Of Video 01:10 Why Learn Casual Inference 08:16 Regression 09:58 Pitfalls in Regression 16:16 Matching 18:12 Propensity Score Matching