| 000 | 01100nam a22001937a 4500 | ||
|---|---|---|---|
| 999 |
_c314 _d314 |
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| 005 | 20190831112248.0 | ||
| 008 | 190831b ||||| |||| 00| 0 eng d | ||
| 020 | _a9788126544691 | ||
| 082 |
_a658.472 _bMIN |
||
| 100 |
_aMinelli, Michael _9834 |
||
| 245 | _aBig data, big analytics: emerging business intelligence and analytic trends for today's business | ||
| 260 |
_bWiley India Pvt. Ltd. _aNew Delhi _c2018 |
||
| 300 | _axxiii, 187 p. | ||
| 365 |
_aINR _b599.00 |
||
| 520 | _aPractical guidance for using open source analytic tools for maximum advantage There is much confusion in the market about the difference between business intelligence and predictive analytics. Big Data, Big Analytics clears up the confusion. Exploring how Open Source R is being used by many companies to create their predictive analytic software, Big Data, Big Analytics examines the current hot trends, such as Open Source R, in business analytics today and shows how to use them effectively. This timely book looks at cutting-edge | ||
| 650 |
_aBig data _9212 |
||
| 700 |
_aDhiraj, Ambiga _9835 |
||
| 942 |
_2ddc _cBK |
||