| 000 | 02784cam a22004817i 4500 | ||
|---|---|---|---|
| 001 | 19777557 | ||
| 003 | OSt | ||
| 005 | 20240702061605.0 | ||
| 008 | 170710t20162017caua 001 0 eng d | ||
| 010 | _a 2017394288 | ||
| 020 | _a9781449369415 | ||
| 020 | _a1449369413 | ||
| 035 | _a(OCoLC)ocn895728667 | ||
| 040 |
_aBTCTA _beng _cBTCTA _erda _dYDXCP _dBDX _dOCLCQ _dJBL _dAPL _dTEF _dOCLCF _dAHS _dCHVBK _dOCLCO _dMVP _dFIE _dI8M _dCDN _dOCLCQ _dDLC |
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| 042 | _alccopycat | ||
| 050 | 0 | 0 |
_aQA76.73.P98 _bM85 2016 |
| 082 | 0 | 4 |
_a005.133 M85 2016 _223 |
| 100 | 1 |
_aMüller, Andreas C., _eauthor. |
|
| 245 | 1 | 0 |
_aIntroduction to machine learning with Python : _ba guide for data scientists / _cAndreas C. Müller and Sarah Guido. |
| 246 | 3 | 0 | _aMachine learning with Python |
| 250 | _aFirst edition. | ||
| 264 | 1 |
_aSebastopol, CA : _bO'Reilly Media, Inc., _c2016. |
|
| 264 | 4 | _c©2017 | |
| 300 |
_axii, 376 pages : _billustrations ; _c24 cm |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 336 |
_astill image _bsti _2rdacontent |
||
| 337 |
_aunmediated _bn _2rdamedia |
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| 338 |
_avolume _bnc _2rdacarrier |
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| 500 | _aIncludes index. | ||
| 505 | 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. | |
| 520 |
_aMachine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination. You'll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Müller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book. -- _cProvided by publisher. |
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| 650 | 0 | _aPython (Computer program language) | |
| 650 | 0 | _aProgramming languages (Electronic computers) | |
| 650 | 0 | _aData mining. | |
| 650 | 7 |
_aData mining. _2fast _0(OCoLC)fst00887946 |
|
| 650 | 7 |
_aProgramming languages (Electronic computers) _2fast _0(OCoLC)fst01078704 |
|
| 650 | 7 |
_aPython (Computer program language) _2fast _0(OCoLC)fst01084736 |
|
| 650 | 7 |
_aMaschinelles Lernen _2gnd |
|
| 700 | 1 |
_aGuido, Sarah, _eauthor. |
|
| 906 |
_a7 _bcbc _ccopycat _d2 _encip _f20 _gy-gencatlg |
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| 942 |
_2ddc _cBK-EN _n0 |
||
| 999 |
_c7035 _d7035 |
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