Unsupervised Learning Algorithms 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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作者

Springer International Publishing AG

译者

2016-5-31 出版日期

560 页数

GBP 74.50 价格

Hardcover

丛书系列

9783319242095 图书编码

Unsupervised Learning Algorithms 在线电子书图书标签: 计算机 VocationalReads Statistics Machine_Learning ML Clustering

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Unsupervised Learning Algorithms 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

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Unsupervised Learning Algorithms 在线电子书图书描述

This book summarizes the state-of-the-art in unsupervised learning. The contributors discuss how with the proliferation of massive amounts of unlabeled data, unsupervised learning algorithms, which can automatically discover interesting and useful patterns in such data, have gained popularity among researchers and practitioners. The authors outline how these algorithms have found numerous applications including pattern recognition, market basket analysis, web mining, social network analysis, information retrieval, recommender systems, market research, intrusion detection, and fraud detection. They present how the difficulty of developing theoretically sound approaches that are amenable to objective evaluation have resulted in the proposal of numerous unsupervised learning algorithms over the past half-century. The intended audience includes researchers and practitioners who are increasingly using unsupervised learning algorithms to analyze their data. Topics of interest include anomaly detection, clustering, feature extraction, and applications of unsupervised learning. Each chapter is contributed by a leading expert in the field.

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