Unsupervised Learning Algorithms is popular PDF and ePub book, written by M. Emre Celebi in 2016-04-29, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Unsupervised Learning Algorithms can be Read Online from any device for your convenience.
Unsupervised Learning Algorithms Book PDF Summary
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.
Detail Book of Unsupervised Learning Algorithms PDF
- Author : M. Emre Celebi
- Release : 29 April 2016
- Publisher : Springer
- ISBN : 9783319242118
- Genre : Technology & Engineering
- Total Page : 564 pages
- Language : English
- PDF File Size : 7,8 Mb
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