Causal Artificial Intelligence

计算机科学技术基础学科

售   价:
226.00
发货周期:国外库房发货,通常付款后3-5周到货!
作      者
出  版 社
出版时间
2023年09月13日
装      帧
平装
ISBN
9781394184132
复制
页      码
300
开      本
15.24x22.86cm.
语      种
英文
综合评分
暂无评分
我 要 买
- +
库存 30 本
  • 图书详情
  • 目次
  • 买家须知
  • 书评(0)
  • 权威书评(0)
图书简介
One of the primary objectives of the book is to outline a holistic approach to understanding models and data in causal AI - it is critical for all team members to have a common understanding of causal inference and causal AI.  Therefore, all discussions will include both: technical detail that is provided in a way that is understandable to the various constituents, and business context and concepts in a way that places causal AI in the frame of daily business operations.  Technical details that will be introduced in a way that business leaders and subject matter experts will understand the context of the descriptions and examples, and the business context will be presented in a manner that is relatable to the technical audience. Technical topics (typically in a box) will include details that will be meaningful and useful for our readers who are data scientists. After reading this book, the reader will be able to: Have a common understanding of what Causality is and how it can benefit their organizations. Know the difference between Correlation based approaches and Causality based approaches. Have readily available detailed use cases and examples that demonstrate the value of Causality for solving business problems. Understand the value of modeling and the type of open-source models available to help in the process of creating causal solutions Understand the issues of explainability and bias detection How Causal Inference is able to predict the consequences of contemplated actions Apply best practices and business examples that can impact decision making. Know where to use correlation and where to use Causal Inference to understand the cause and effect of business decisions.
本书暂无推荐
本书暂无推荐
看了又看
  • 上一个
  • 下一个