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Автор: Matheus Facurer
Издательство: O’Reilly Media, Inc.
Год: 2023-05-10
Страниц: 561
Язык: английский
Формат: epub (true), mobi
Размер: 19.3 MB
This book is an introduction to Causal Inference in Python, but it is not an introductory book in general. It’s introductory because I’ll focus on application, rather than rigorous proofs and theorems of causal inference; additionally, when forced to choose, I’ll opt for a simpler and intuitive explanation, rather than a complete and complex one. It is not introductory in general because I’ll assume some prior knowledge about Machine Learning (ML), statistics and programming in Python. It is not too advanced either, but I will be throwing in some terms that you should know beforehand. The main audience of this book is Data Scientists who are working in the industry. If you fit this description, there is a pretty good chance that you cover the prerequisites that I’ve mentioned.