| 000 | 01492cam a22003135i 4500 | ||
|---|---|---|---|
| 003 | EG-CaNGU | ||
| 005 | 20240130151432.0 | ||
| 008 | 211017s2016 cc a frb 001 0 eng d | ||
| 020 | _a9781449369415 | ||
| 040 |
_aBTCTA _beng _cBTCTA _erda _dYDXCP _dBDX _dOCLCQ _dJBL _dAPL _dTEF _dOCLCF _dAHS _dCHVBK _dOCLCO _dMVP _dFIE _dI8M _dCDN _dOCLCQ _dDLC _dEG-CaNGU |
||
| 082 | 0 | 4 |
_a005.133 _bMŰI _223 |
| 100 | 1 |
_aMüller, Andreas C., _eauthor. _93895 |
|
| 245 | 1 | 0 |
_aIntroduction to machine learning with Python : _ba guide for data scientists / |
| 246 | 3 | 0 | _aMachine learning with Python |
| 250 | _aFirst edition. | ||
| 264 | 1 |
_aBeijing, China : _bO'Reilly Media, Inc., _c2016. |
|
| 300 |
_axii, 384 pages : _billustrations ; _c24 cm |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_aunmediated _bn _2rdamedia |
||
| 338 |
_avolume _bnc _2rdacarrier |
||
| 500 | _a''Powered by Jupyter'' written on front cover page. | ||
| 504 | _aIncludes bibliographical references index. | ||
| 505 | 0 | 0 | _aIntroduction -- Supervised learning -- Unsupervised learning and preprocessing -- Representing data and engineering features -- Model evaluation and improvement -- Algorithm chains and pipelines -- Working with text data -- Wrapping up. |
| 650 | 7 |
_aPython (Computer program language). _2NGU-sh _92383 |
|
| 650 | 7 |
_aData mining. _2NGU-sh _93604 |
|
| 650 | 7 |
_aMachine learning. _2NGU-sh _93897 |
|
| 700 | 1 |
_aGuido, Sarah, _eauthor. _93896 |
|
| 999 |
_c1218 _d1218 |
||