| 000 | 01284nam a2200193Ia 4500 | ||
|---|---|---|---|
| 008 | 240822s9999 xx 000 0 und d | ||
| 020 |
_a9781789345377 _qpbk |
||
| 041 | _aeng | ||
| 082 |
_a005.276 _bROD |
||
| 100 | _aRodriguez Martino, Julio Cesar | ||
| 245 | 0 |
_aHands-on machine learning with microsoft excel 2019 _b build complete data analysis flows, from data collection to visualization |
|
| 260 |
_bPackt _cc2019 _aUK : |
||
| 300 |
_a243 p. : _bill. _c23 cm |
||
| 500 | _aFirst Published 2019 | ||
| 504 | _aindex | ||
| 520 | _aWe have made huge progress in teaching computers to perform difficult tasks, especially those that are repetitive and time-consuming for humans. Excel users, of all levels, can feel left behind by this innovation wave. The truth is that a large amount of the work needed to develop and use a machine learning model can be done in Excel. The book starts by giving a general introduction to machine learning, making every concept clear and understandable. Then, it shows every step of a machine learning project, from data collection, reading from different data sources, developing models, and visualizing the results using Excel features and offerings. | ||
| 650 | _a Apprentissage automatique; Data Mining; Electronic book | ||
| 942 | _cENGLISH | ||
| 999 |
_c530351 _d530351 |
||