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Mathematical Foundations for Data Analysis - Springer Series in the Data Sciences 2021 edition
Jeff M. Phillips
Mathematical Foundations for Data Analysis - Springer Series in the Data Sciences 2021 edition
Jeff M. Phillips
This textbook, suitable for an early undergraduate up to a graduate course, provides an overview of many basic principles and techniques needed for modern data analysis.
287 pages, 116 Illustrations, color; 2 Illustrations, black and white; XVII, 287 p. 118 illus., 116
Media | Books Hardcover Book (Book with hard spine and cover) |
Released | March 30, 2021 |
ISBN13 | 9783030623401 |
Publishers | Springer Nature Switzerland AG |
Pages | 287 |
Dimensions | 242 × 159 × 27 mm · 666 g |
Language | French |
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