Introduction to algorithms for data mining and machine learning

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 re...

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Bibliographic Details
Main Author Yang, Xin-She
Format eBook Book
LanguageEnglish
Published London Academic Press 2019
Elsevier Science & Technology
Edition1
Subjects
Data mining
Data mining > Mathematics
Data mining-Statistical methods
Machine learning
Machine learning > Mathematics
Online AccessGet full text
ISBN0128172169
9780128172162
DOI10.1016/C2018-0-02034-4

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Summary: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.
ISBN:0128172169
9780128172162
DOI:10.1016/C2018-0-02034-4