An Introduction to Machine Learning Interpretability
简介：
理解和信任模型及其结果是优秀科学的标志。了解如何将其应用于机器学习，包括公平性，问责制，透明度和可解释的AI。
英文简介：
Understanding and trusting models and their results is a hallmark of good science. Get an applied perspective on how this applies to machine learning, including fairness, accountability, transparency, and explainable AI.
- 书名
- An Introduction to Machine Learning Interpretability
- 译名
- 机器学习可解释性简介
- 语言
- 英语
- 年份
- 2019
- 页数
- 62页
- 大小
- 14.29 MB
- 标签
- 机器学习
- 下载
An Introduction to Machine Learning Interpretability.pdf- 密码
- 65536
最后更新：2025-04-12 23:55:11
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