Li M. Chen
Mathematical Problems in Data Science: Theoretical and Practical Methods Li M. Chen Softcover reprint of the original 1st ed. 2015 edition

Name: Mathematical Problems in Data Science: Theoretical and Practical Methods
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Author: Li M. Chen

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1st ed. 2015 edition

(2015) NOK 1.189

Mathematical Problems in Data Science: Theoretical and Practical Methods

Li M. Chen

Softcover reprint of the original 1st ed. 2015 edition

This book describes current problems in data science and Big Data. Key topics are data classification, Graph Cut, the Laplacian Matrix, Google Page Rank, efficient algorithms, hardness of problems, different types of big data, geometric data structures, topological data processing, and various learning methods.

213 pages, 42 Illustrations, color; 22 Illustrations, black and white; XV, 213 p. 64 illus., 42 illu

Media	Bøker Pocketbok (Bok med mykt omslag og limt rygg)
Utgitt	14. mars 2019
ISBN13	9783319797397
Utgivere	Springer International Publishing AG
Antall sider	213
Mål	150 × 220 × 10 mm · 331 g
Språk	Tysk