| 000 | 01351nam a22002177a 4500 | ||
|---|---|---|---|
| 005 | 20260514094724.0 | ||
| 008 | 260514s2021 |||||||| |||| 00| 0 eng d | ||
| 020 | _a9781119682363 | ||
| 040 | _cPK-LaUMT | ||
| 082 |
_a005.133 _bLAZ-M |
||
| 100 | 1 |
_aLazzeri, Francesca _911636 |
|
| 245 | 1 | 0 |
_aMachine learning for time series forecasting with Python / _cFrancesca Lazzeri |
| 260 |
_aHoboken : _bJohn Wiley & Sons, _c2021 |
||
| 300 | _axviii, 206 p. | ||
| 500 | _aIncludes bibliographical references and index. | ||
| 520 | _aMachine Learning for Time Series Forecasting with Python is an incisive and straightforward examination of one of the most crucial elements of decision-making in finance, marketing, education, and healthcare: time series modeling. Despite the centrality of time series forecasting, few business analysts are familiar with the power or utility of applying machine learning to time series modeling. Author Francesca Lazzeri, a distinguished machine learning scientist and economist, corrects that deficiency by providing readers with comprehensive and approachable explanation and treatment of the application of machine learning to time series forecasting. -- Provided by publisher | ||
| 546 | _aEng | ||
| 650 |
_aPython (Computer programming language) _911637 |
||
| 650 |
_aForecasting-methodology _911638 |
||
| 942 | _cBK | ||
| 999 |
_c140757 _d140757 |
||