000 | 02702cam a22004697i 4500 | ||
---|---|---|---|
001 | 23494766 | ||
005 | 20240902164018.0 | ||
008 | 240110s2023 caua 001 0 eng | ||
010 | _a 2023302490 | ||
015 |
_aGBC3F6725 _2bnb |
||
016 | 7 |
_a021178905 _2Uk |
|
020 |
_a9781098135720 _qpaperback |
||
020 | _a1098135725 | ||
035 | _a(OCoLC)on1400087878 | ||
040 |
_aUKMGB _beng _erda _cUKMGB _dJRZ _dJOZ _dOCLCO _dJOZ _dOCLCF _dOCLCO _dDLC |
||
042 | _alccopycat | ||
050 | 0 | 0 |
_aQ325.5 _b.A425 2023 |
082 | 0 | 4 |
_a006.31 GAL _223 _b24732 |
100 | 1 |
_aGallatin, Kyle, _eauthor. |
|
245 | 1 | 0 |
_aMachine learning with Python cookbook : _bpractical solutions from preprocessing to deep learning / _cKyle Gallatin and Chris Albon. |
250 | _aSecond edition. | ||
264 | 1 |
_aSebastopol, CA : _bO'Reilly Media Inc, _c2023. |
|
300 |
_axiv, 398 pages : _billustrations (black and white) ; _c24 cm |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_aunmediated _bn _2rdamedia |
||
338 |
_avolume _bnc _2rdacarrier |
||
500 | _aPrevious ed.: / Chris Albon. 2018. | ||
500 | _aIncludes index. | ||
505 | 0 | _aWorking with vectors, matrices, and arrays in NumPy -- Losding data -- Data wrangling -- Handling numerical data -- Handling categorical data -- Handling text --Handling dates and times -- Handling images --Dimension reduction using feature extraction -- Dimensionality redutctuion using feature selection | |
520 | _aThis practical guide provides more than 200 self-contained recipes to help you solve machine learning challenges you may encounter in your work. If you're comfortable with Python and its libraries, including pandas and scikit-learn, you'll be able to address specific problems, from loading data to training models and leveraging neural networks. Each recipe in this updated edition includes code that you can copy, paste, and run with a toy dataset to ensure that it works. From there, you can adapt these recipes according to your use case or application. Recipes include a discussion that explains the solution and provides meaningful context. Go beyond theory and concepts by learning the nuts and bolts you need to construct working machine learning applications. | ||
650 | 0 | _aMachine learning. | |
650 | 0 | _aPython (Computer program language) | |
650 | 6 | _aApprentissage automatique. | |
650 | 6 | _aPython (Langage de programmation) | |
650 | 7 |
_aMachine learning _2fast |
|
650 | 7 |
_aPython (Computer program language) _2fast |
|
700 | 1 |
_aAlbon, Chris, _eauthor. |
|
852 | _p10004000024732 | ||
906 |
_a7 _bcbc _ccopycat _d2 _encip _f20 _gy-gencatlg |
||
942 |
_2ddc _cBK _n0 |
||
999 |
_c489624 _d489624 |