Causal Inference: Practical Applications in Fintech and Business | Matheus Facure скачать в хорошем качестве

Causal Inference: Practical Applications in Fintech and Business | Matheus Facure

Matheus is an economics and fintech expert and the author of Causal Inference for the Brave and True and Causal Inference in Python. We explore the practical applications of causal inference in banking, marketing, and decision-making, unpacking its power to uncover meaningful relationships in data. Matheus shares insights into building a causal mindset, the challenges of observational inference, and how to tackle real-world problems using innovative techniques. Expect to learn about: Translating causal inference for data scientists and executives Practical examples from fintech: credit pricing and marketing Overcoming observational challenges and biases in data The importance of storytelling in data science communication Why causal thinking can simplify complex decisions in business and life 📚 Matheus' books: https://matheusfacure.github.io/pytho... https://www.amazon.com/Causal-Inferen... Where to find Matheus: LinkedIn:   / matheus-facure-7b0099117   Timestamps 00:00 Preview 01:20 Introduction 02:48 Convincing stakeholders that causal inference is useful 05:45 Matheus' superpower 07:36 Predictive vs. causal problems 11:45 Decision-making in complex systems 16:18 Central vs embedded causal inference 19:06 What makes a good causal inference practitioner? 21:42 Causal inference in fintech 29:24 Model risk 30:37 Fancy ML vs. simple tools 35:29 Observational causal inference 38:37 The role of AI 42:01 Recommended resources 44:01 Why Matheus wrote his books 51:28 Causal mindset in everyday life