Mathematical and statistical methods for data science and machine learning / Dirk P. Kroese, Zdravko Botev, Thomas Taimre, Radislav Vaisman
| Publisher | (Boca Raton : CRC Press) |
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| Year | 2019 |
| Edition | First edition. |
| Authors | *Kroese, Dirk P. author Botev, Zdravko I. 1982- author Taimre, Thomas 1983- author Vaisman, Radislav author |
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| Links to the text | Location | Volume | Call No. | Barcode No. | Status | Comments | ISBN | Printed | Restriction | Reserve |
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| Links to the text | Library Off-campus access |
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OB00190573 | Taylor & Francis eBooks (電子ブック) / 印刷・ダウンロード不可 | 9780367816971 |
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| Material Type | E-Book |
|---|---|
| Media type | 機械可読データファイル |
| Size | 1 online resource |
| Notes | "The purpose of this book is to provide an accessible, yet comprehensive, account of data science and machine learning. It is intended for anyone interested in gaining a better understanding of the mathematics and statistics that underpin the rich variety of ideas and machine learning algorithms in data science"-- provided by publisher OCLC-licensed vendor bibliographic record HTTP:URL=https://www.taylorfrancis.com/books/9780367816971 Information=Taylor & Francis |
| Subjects | LCSH:Machine learning -- Mathematics
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LCSH:Machine learning -- Statistical methods All Subject Search LCSH:Mathematical analysis FREE:BUSINESS & ECONOMICS / Statistics FREE:COMPUTERS / Database Management / Data Mining FREE:COMPUTERS / Machine Theory |
| Classification | LCC:Q325.5 DC23:006.3/1 |
| ID | 8000089740 |
| ISBN | 9780367816971 |
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