| 000 | 01053cam a2200217 4500 | ||
|---|---|---|---|
| 001 | 1783303441 | ||
| 008 | 210701t2020 xxu||||| |||| 00| 0 eng d | ||
| 020 | _a1783303441 | ||
| 020 | _a9781783303458 | ||
| 020 | _a9781783303441 | ||
| 041 | _aeng | ||
| 100 | _aStuart, D | ||
| 245 | 0 | _aPractical data science for information professionals | |
| 260 |
_bFacet Publishing _c2020 |
||
| 520 | _aThis book is an introduction to a potentially complex field, providing readers with an overview of data science and a framework for its application. It provides examples and analysis on real data sets to explore the basics of the subject in three principle areas: clustering and social network analysis; predictions and forecasts; and text analysis and mining. It includes some example code in two of the most popular programming languages (R and Python) and focuses on the application of open source software. | ||
| 690 | _aLibrary science | ||
| 690 | _aData Interpretation | ||
| 690 | _aResearch | ||
| 999 |
_c55528 _d55528 |
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| 942 | 0 | 0 | _01 |