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Academic Press
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Introduction to Algorithms for Data Mining and Machine Learning书籍相关信息
- ISBN：9780128172162
- 作者：暂无作者
- 出版社：Academic Press
- 出版时间：2019-6
- 页数：175
- 价格：暂无价格
- 纸张：暂无纸张
- 装帧：Paperback
- 开本：暂无开本
- 语言：暂无语言
- 原作名：Xin-She Yang
- 适合人群：Computer scientists, Data scientists, Data miners, Machine learning engineers, Researchers in AI and Data Analytics, Undergraduate and graduate students in computer science and related fields
- TAG：Machine Learning / Algorithms / Big Data / Statistical Learning / data mining / Computation / Pattern Recognition
- 豆瓣评分：暂无豆瓣评分
- 更新时间：2025-05-17 04:29:32
内容简介：
Introduction to Algorithms for Data Mining and Machine Learning introduces the essential ideas behind all key algorithms and techniques for data mining and machine learning, along with optimization techniques. Its strong formal mathematical approach, well selected examples, and practical software recommendations help readers develop confidence in their data modeling skills so they can process and interpret data for classification, clustering, curve-fitting and predictions. Masterfully balancing theory and practice, it is especially useful for those who need relevant, well explained, but not rigorous (proofs based) background theory and clear guidelines for working with big data.
Presents an informal, theorem-free approach with concise, compact coverage of all fundamental topics
Includes worked examples that help users increase confidence in their understanding of key algorithms, thus encouraging self-study
Provides algorithms and techniques that can be implemented in any programming language, with each chapter including notes about relevant software packages