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| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Bermeitinger, Bernhard | - |
| dc.contributor | Cetto, Matthias | - |
| dc.contributor | Handschuh, Siegfried | - |
| dc.contributor.author | Hrycej, Tomas | - |
| dc.date.accessioned | 2024-01-26T07:29:33Z | - |
| dc.date.available | 2024-01-26T07:29:33Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.uri | http://thuvienso.thanglong.edu.vn//handle/TLU/9159 | - |
| dc.description.abstract | This textbook aims to point out the most important principles of data analysis from the mathematical point of view. Specifically, it selected these questions for exploring: Which are the principles necessary to understand the implications of an application, and which are necessary to understand the conditions for the success of methods used? Theory is presented only to the degree necessary to apply it properly, striving for the balance between excessive complexity and oversimplification. Its primary focus is on principles crucial for application success | vi |
| dc.format.extent | 219ps | vi |
| dc.language.iso | en | vi |
| dc.publisher | Springer | vi |
| dc.subject | Data Science | vi |
| dc.subject | Mathematical | vi |
| dc.subject | Khoa học dữ liệu | vi |
| dc.subject | Toán học | vi |
| dc.title | Mathematical Foundations of Data Science | vi |
| dc.type | Sách/Book | vi |
| Appears in Collections | Công tác xã hội | |
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