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books
| book details |
Mathematical Methods in Data Science
By (author) Jingli Ren, By (author) Haiyan Wang
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| on special |
normal price: R 9 161.95
Price: R 8 703.95
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| book description |
Mathematical Methods in Data Science covers a broad range of mathematical tools used in data science, including calculus, linear algebra, optimization, network analysis, probability and differential equations. Based on the authors’ recently published and previously unpublished results, this book introduces a new approach based on network analysis to integrate big data into the framework of ordinary and partial differential equations for data analysis and prediction. With data science being used in virtually every aspect of our society, the book includes examples and problems arising in data science and the clear explanation of advanced mathematical concepts, especially data-driven differential equations, making it accessible to researchers and graduate students in mathematics and data science.
| product details |
Normally shipped |
Publisher | Elsevier - Health Sciences Division
Published date | 11 Jan 2023
Language |
Format | Paperback / softback
Pages | 258
Dimensions | 229 x 152 x 0mm (L x W x H)
Weight | 410g
ISBN | 978-0-4431-8679-0
Readership Age |
BISAC | computers / data processing / general
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| specials |
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Carlo Rovelli
Paperback / softback
208 pages
was: R 295.95
now: R 265.95
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Carlo Rovelli
Paperback / softback
224 pages
was: R 295.95
now: R 265.95
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Originally published in Italian: L'ordine del tempo (Milan: Adelphi Edizioni, 2017).
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