Causal Inference in Python 作者: Matheus Facure 出版社: O'Reilly Media, Inc.副标题: Applying Causal Inference in the Tech Industry出版年: 2023-11-30页数: 406定价: S$106.67装帧: PaperbackISBN: 9781098140250豆瓣评分 评价人数不足 评价:
Causal Inference: What If Author: Miguel Hernan (Harvard University) Year: 2020 Causal Inference in Python Author: Matheus Facure Year: 2023 Causal Analysis Author: Martin Huber (University of Fribourg) Year: 2023 Causal Inference and Discovery in Python Author: Aleksander Molak Year: 2023 Quasi-E...
Causal Inference for the Brave and True Author: Matheus Facure (Nubank) Year: regularly updated Causal Inference: The Mixtape Author: Scott Cunningham (Baylor University) Year: 2021 图片 The Effect Author: Nick C. Huntington-Klein (Seattle University) [YouTube] Year: 2021 图片 Causal Inference: ...
因果推断书籍《causal inference in python》电子书,《使用Python进行因果推断:科技产业应用》 该书为Matheus Facure所著《Causal Inference in Python: Applying Causal Inference in the Tech Industry》,姑且翻译为《使用Python进行因果推断:科技产业应用》 详情请查看系列读书笔记《使用Python进行因果推断:科技产业应用》...
Causal Inference: What If Author: Miguel Hernan (Harvard University) Year: 2020 Causal Inference in Python Author: Matheus Facure Year: 2023 Causal Analysis Author: Martin Huber (University of Fribourg) Year: 2023 Causal Inference and Discovery in Python ...
下载地址:https://cdn1.sph.harvard.edu/wp-content/uploads/sites/1268/2019/10/ci_hernanrobins_14oct19.pdf 代码链接 https://gitee.com/econometric/causal_inference_python_code Causal Inference in Python Author: Matheus Facure Year: 2023 Causal Analysis ...
Causal Inference: What If Author: Miguel Hernan (Harvard University) Year: 2020 Causal Inference in Python Author: Matheus Facure Year: 2023 Causal Analysis Author: Martin Huber (University of Fribourg) Year: 2023 Causal Inference and Discovery in Python ...
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality. - GitHub - matheusfacure/python-causality-handbook: Causal Inference for the Brave and True. A light-hearted yet rigorous a
Causal Inference for The Brave and Truematheusfacure.github.io/python-causality-handbook/landing-page.html 1S-Learner 元学习器是一种利用现成的机器学习预测方法来估计CATE问题的方法,同样地,它们每个都有一些弱点。 下面使用非随机数据来训练并用随机数据进行验证。
因果推断在数据科学中逐渐成为一种重要的分析工具,强烈建议所有学习机器学习的小伙伴,看看这本最新的因果推断书籍。 本书是2023年6月最新发布的,全程用Python讲解,作者Matheus Facure,Nubank的高级数据科学家,解释了因果推断在营销领域中的巨大潜力。 书籍介绍本书讲解具体实用的因果推断方法,如随机对照试验(A/B测试)、...