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The major part of this survey outlines a set of important and fundamental technical grand challenges in interpretable machine learning. These are both modern and classical challenges, …
本页面提供了关于可解释机器学习的翻译内容，帮助读者更好地理解相关概念和方法。
Feb 2, 2021 · We present a brief history of the field of interpretable machine learning (IML), give an overview of state-of-the-art interpretation methods and discuss challenges.
可解释的机器学习（Interpretable Machine Learning） 指的是使机器学习系统的行为和预测对人类来说可理解的方法和模型。 数据集 （Dataset）是带有机器学习的数据的表格。 数据集包含 …
Who this book is for This book is essential for machine learning practitioners, data scientists, statisticians, and anyone interested in making their machine learning models interpretable. It …
Interpretable Machine Learning refers to the design of models that are both understandable and effective, aiming to address the challenge posed by 'black box' machine learning algorithms.
Mar 20, 2021 · This survey is suitable as a starting point for statisticians and computer scientists interested in working in interpretable machine learning.
Mar 24, 2019 · Interpretable Machine Learning 作者: [德] Christoph Molnar 出版社: Lulu Press 出版年: 2019-3-24 页数: 318 定价: USD 47.62 装帧: Paperback ISBN: 9780244768522 豆瓣评 …
Books Interpretable Machine Learning Christoph Molnar 520f84.555win5win.com, 2020 - Computers - 320 pages
《Interpretable Machine Learning》是少有的系统性地整理可解释性工作的图书。 书中每节介绍一种解释方法，既通过通俗易懂的语言直观地描述这种方法，也通过数学公式详细地介绍方法的 …
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