| 000 | 01088nam a2200193Ia 4500 | ||
|---|---|---|---|
| 008 | 250109s9999 xx 000 0 und d | ||
| 020 |
_a9789351073895 _qpbk |
||
| 041 | _aeng | ||
| 082 |
_a006.312 _bWIT |
||
| 100 | _aWitten | ||
| 245 | 0 |
_aData Mining Practical Machine Learning Tools And Techniques 4Ed(Pb 2020) _c/Witten |
|
| 250 | _a4th ed. | ||
| 260 |
_bElsevier _c2020 _aHaryana |
||
| 300 |
_axxxii, 621pages, : _c23 cm. |
||
| 504 | _aindex | ||
| 520 | _aKey Features Provides a thorough grounding in machine learning concepts, as well as practical advice on applying the tools and techniques to data mining projects Presents concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods Includes a downloadable WEKA software toolkit, a comprehensive collection of machine learning algorithms for data mining tasks-in an easy-to-use interactive interface Includes open-access online courses that introduce practical applications of the material in the book | ||
| 650 | _aComputer Science | ||
| 942 | _cENGLISH | ||
| 999 |
_c568062 _d568062 |
||