Introduction to Algorithms for Data Mining and Machine Learning
暫譯: 數據挖掘與機器學習的演算法導論

Yang, Xin-She

Introduction to Algorithms for Data Mining and Machine Learning

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商品描述

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

商品描述(中文翻譯)

《資料探勘與機器學習演算法導論》介紹了所有關鍵演算法和技術背後的基本概念，以及優化技術。其強大的形式數學方法、精心挑選的範例和實用的軟體建議幫助讀者建立對資料建模技能的信心，使他們能夠處理和解釋資料以進行分類、聚類、曲線擬合和預測。這本書巧妙地平衡了理論與實踐，特別適合那些需要相關、解釋清晰但不嚴謹（基於證明）的背景理論和針對大數據工作的明確指導的人士。

- 提供非正式的、無定理的方式，簡潔而緊湊地涵蓋所有基本主題
- 包含已解的範例，幫助使用者增強對關鍵演算法的理解信心，從而鼓勵自學
- 提供可以在任何程式語言中實現的演算法和技術，每章節包括有關相關軟體包的註解

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