Interpretable Machine Learning pdf epub mobi txt 电子书 下载 2024


Interpretable Machine Learning

简体网页||繁体网页
[德] Christoph Molnar
Lulu Press
2019-3-24
318
USD 47.62
Paperback
9780244768522

图书标签: 机器学习  计算机  Interpretable  计算机科学  美国  统计  MachineLearning  En.   


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发表于2024-11-03

Interpretable Machine Learning epub 下载 mobi 下载 pdf 下载 txt 电子书 下载 2024

Interpretable Machine Learning epub 下载 mobi 下载 pdf 下载 txt 电子书 下载 2024

Interpretable Machine Learning pdf epub mobi txt 电子书 下载 2024



图书描述

This book is about making machine learning models and their decisions interpretable.

After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME.

All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.

Interpretable Machine Learning 下载 mobi epub pdf txt 电子书

著者简介

On a mission to make algorithms more interpretable by combining machine learning and statistics.


图书目录


Interpretable Machine Learning pdf epub mobi txt 电子书 下载
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用户评价

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写的狗屎一样,可解释性其实就是一个伪命题,可以看一下hinton对于可解释性的驳斥

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重点在6-7章,https://christophm.github.io/interpretable-ml-book/

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偏统计而非计算机

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随着时间的推移模型的可解释性会越来越重要,或许是通过其他统计学方式来辅助,或许是推翻模型底层理论

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解释有些理论并不是十分清楚,不过算是一本好书

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Interpretable Machine Learning pdf epub mobi txt 电子书 下载 2024


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