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" Introduction to algorithms for data mining and machine learning / "
Xin-She Yang.
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BL
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| Record Number
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872545
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| Main Entry
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Yang, Xin-She
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| Title & Author
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Introduction to algorithms for data mining and machine learning /\ Xin-She Yang.
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| Publication Statement
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London, United Kingdom ;San Diego, CA, United States :: Academic Press, an imprint of Elsevier,, [2019]
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| Page. NO
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1 online resource (viii, 173 pages) :: illustrations
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| ISBN
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0128172177
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: 9780128172179
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0128172169
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9780128172162
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| Bibliographies/Indexes
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Includes bibliographical references (pages 163-170) and index.
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| Contents
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Introduction to optimization -- Mathematical foundations -- Optimization algorithms -- Data fitting and regression -- Logistic regression, PCA, LDA, and ICA -- Data mining techniques -- Support vector machine and regression -- Neural networks and deep learning.
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| Abstract
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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.
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| Subject
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Data mining-- Mathematics.
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Machine learning-- Mathematics.
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COMPUTERS-- General.
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| Dewey Classification
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006.312
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| LC Classification
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Q325.5.Y36 2019eb
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QA76.9.D343Y36 2019e
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