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Introduction to algorithms for data mining and machine learning /

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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 re...

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Bibliographic Details
Main Author: Yang, Xin-She (Author)
Corporate Author: ScienceDirect (Online service)
Format: eBook
Language:English
Published: London, United Kingdom ; San Diego, CA, United States : Academic Press, an imprint of Elsevier, [2019]
Subjects:
Data mining > Mathematics.
Machine learning > Mathematics.
Exploration de données (Informatique) > Mathématiques.
Apprentissage automatique > Mathématiques.
COMPUTERS > General.
Data mining
Machine learning
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
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.
Physical Description:1 online resource (viii, 173 pages) : illustrations
Bibliography:Includes bibliographical references (pages 163-170) and index.
ISBN:9780128172179
0128172177