- 书名:Elements of Causal Inference: Foundations and Learning Algorithms
- 出版社:The MIT Press
- 作者:Jonas Peters, Dominik Janzing, Bernhard Schölkopf
- 出版年份:2017
- 电子书格式: pdf
- 简介:Dive into the world of causal inference with “Elements of Causal Inference.” This book, authored by Jonas Peters, Dominik Janzing, and Bernhard Schölkopf, provides a comprehensive foundation in causal inference, covering both theoretical principles and practical algorithms. It’s a must-read for data scientists, researchers, and anyone seeking to understand cause-and-effect relationships within data. Learn to move beyond simple correlation and uncover true causal effects. Explore topics like causal models, graphical models, and various learning algorithms. Master the art of causal inference and unlock valuable insights from your data. Elevate your analytical skills and make data-driven decisions with confidence.
- ISBN:9780262037310, 02620
- 下载地址(点击下载):
声明:本站所有文章,如无特殊说明或标注,均为本站原创发布。任何个人或组织,在未征得本站同意时,禁止复制、盗用、采集、发布本站内容到任何网站、书籍等各类媒体平台。如若本站内容侵犯了原著者的合法权益,可联系我们进行处理。
评论(0)