Mathematical Methods in Data Science /
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 Based on the authors’ recently published and previously unpublished results, this book int...
| Main Authors: | , , |
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| Format: | software, multimedia |
| Language: | eng |
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Amsterdam : Elsevier,
2023
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| Subjects: | |
| Online Access: | https://www.ebooks.com https://drive.google.com/file/d/15hIT3r62bdxZ-JLFoM8MVXJJJ_l0GfpM/view?usp=drive_link |
| _version_ | 1817845660748087296 |
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| author | Ren, Jingli, author 651741 Wang, Haiyan, author 651742 Elsevier (Online service) |
| author_facet | Ren, Jingli, author 651741 Wang, Haiyan, author 651742 Elsevier (Online service) |
| author_sort | Ren, Jingli, author 651741 |
| collection | OCEAN |
| 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 Based on the authors’ recently published and previously unpublished results, this book introduces a new approach based on network analysis to integrate big data into the framework of ordinary and partial differential equations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 dataanalysis 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. |
| first_indexed | 2024-03-05T17:22:29Z |
| format | software, multimedia |
| id | KOHA-OAI-TEST:607320 |
| institution | Universiti Teknologi Malaysia - OCEAN |
| language | eng |
| last_indexed | 2024-12-08T04:38:37Z |
| publishDate | 2023 |
| publisher | Amsterdam : Elsevier, |
| record_format | dspace |
| spelling | KOHA-OAI-TEST:6073202024-11-16T01:03:50ZMathematical Methods in Data Science / Ren, Jingli, author 651741 Wang, Haiyan, author 651742 Elsevier (Online service) software, multimedia Electronic books 631902 Amsterdam : Elsevier,2023engMathematical 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 dataanalysis 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.Includes bibliographical references and index1. Linear Algebra -- 2. Probability -- 3. Calculus and Optimization -- 4. Network Analysis -- 5. Ordinary Differential Equations -- 6. Partial Differential Equations.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 dataanalysis 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.Big datahttps://www.ebooks.comhttps://drive.google.com/file/d/15hIT3r62bdxZ-JLFoM8MVXJJJ_l0GfpM/view?usp=drive_linkURN:ISBN:9780443186806 |
| spellingShingle | Big data Ren, Jingli, author 651741 Wang, Haiyan, author 651742 Elsevier (Online service) Mathematical Methods in Data Science / |
| title | Mathematical Methods in Data Science / |
| title_full | Mathematical Methods in Data Science / |
| title_fullStr | Mathematical Methods in Data Science / |
| title_full_unstemmed | Mathematical Methods in Data Science / |
| title_short | Mathematical Methods in Data Science / |
| title_sort | mathematical methods in data science |
| topic | Big data |
| url | https://www.ebooks.com https://drive.google.com/file/d/15hIT3r62bdxZ-JLFoM8MVXJJJ_l0GfpM/view?usp=drive_link |
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