| 000 | 03016cam a22004817i 4500 | ||
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| 999 |
_c26545 _d26544 |
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| 001 | 19241719 | ||
| 003 | SA-RiNAUS | ||
| 005 | 20190410150121.0 | ||
| 008 | 160823t20172017njua 001 0 eng d | ||
| 020 | _a9788126567935 | ||
| 040 |
_aCCE _beng _cCCE _erda _dSINLB _dOCLCO _dCGP _dVP@ _dOQX _dYDX _dOCLCF _dDLC |
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| 082 | 0 | 0 |
_223 _a658.403802856312 _bB A P |
| 100 | 1 |
_aBari, Anasse, _eauthor. _92173 |
|
| 245 | 1 | 0 |
_aPredictive analytics for dummies / _cby Anasse Bari, Ph.D., Mohamed Chaouchi, and Tommy Jung. |
| 250 | _a2nd edition. | ||
| 264 | 1 |
_aHoboken, NJ : _bJohn Wiley and Sons, _c[2017] |
|
| 300 |
_aviii, 443 pages : _billustrations ; _c24 cm. |
||
| 490 | 0 | _aFor dummies | |
| 500 | _aIncludes index. | ||
| 500 | _aشراء معرض القاهرة للكتاب 2019 | ||
| 505 | 0 | 0 |
_gIntroduction. -- _gpt. 1. _tGetting started with predictive analytics. Entering the arena ; _tPredictive analytics in the wild ; _tExploring your data types and associated techniques ; _tComplexities of data -- _gpt. 2. _tIncorporating algorithms in your models. Applying models ; _tIdentifying similarities in data ; _tPredicting the future using data classification -- _gpt. 3. _tDeveloping a roadmap. Convincing your management to adopt predictive analytics ; _tPreparing data ; _tBuilding a predictive model ; _tVisualization of analytical results -- _gpt. 4. _tProgramming predictive analytics. Creating basic prediction examples ; _tCreating basic examples of unsupervised predictions ; _tPredictive modeling with R ; _tAvoiding analysis traps ; -- _gpt. 5. _tTargeting big data _tGetting ready for enterprise analytics _gpt. 6 _tThe part of tens. _tTen reasons to implement predictive analytics ; _tTen steps to build a predictive analytic model. |
| 520 | _aBusiness today relies on effectively using data to predict trends and sales. Predictive analytics is the tool that can make it happen, and this book eliminates the tricks and shows you how to use it. You'll learn to prepare and process your data, create goals, build a predictive model, get your organization's stakeholders on board and more. | ||
| 650 | 0 |
_aManagement _xData processing. _92179 |
|
| 650 | 0 |
_aManagement _xMathematical models. _92180 |
|
| 650 | 0 |
_aData mining. _92181 |
|
| 650 | 7 |
_aData mining. _92181 |
|
| 650 | 7 |
_aManagement _xData processing. _92179 |
|
| 650 | 7 |
_aManagement _xMathematical models. _92180 |
|
| 700 | 1 |
_aChaouchi, Mohamed, _eauthor. _92176 |
|
| 700 | 1 |
_aJung, Tommy, _eauthor. _92177 |
|
| 830 | 0 |
_a--For dummies. _92178 |
|
| 942 |
_2ddc _cBK |
||