Mathematical Problems in Data Science: Theoretical and Practical Methods

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. For unsolved problems such as incomplete data relation and reconstruction, the book includes possible solutions and both statistical and...

By Li M. Chen
Hardcover: 213 pages
Publisher: Springer; 1st ed. 2015 edition (December 16, 2015)
Language: English
ISBN-10: 9783319251257
ISBN-13: 978-3319251257
ASIN: 3319251252
Product Dimensions: 6.1 x 0.6 x 9.2 inches
Amazon Rank: 3450146
Format: PDF ePub djvu book

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Never made it pass the poorly written introduction. It just a word jumble of buzz words like "Big Data" and "Data science" barely put together to coherent sentences.

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9783319251257 pdf
978-3319251257 pdf
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Li M. Chen books
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