000			01923nam a22002297a 4500
008			210302b ||||| |||| 00| 0 eng d
020			_a9788126567935
041			_aEnglish
082			_a658.4034 BAR
100			_aBari, Anasse
245			_aPredictive analytics for dummies / _c Anasse Bari; Mohamed Chaouchi; Tommy Jung
250			_a2nd edition
260			_aHoboken, NJ : _bWiley, _c2017.
300			_aviii, 443 p. : _bill. ; _c24 cm.
440			_a--For dummies.
500			_a Includes index. "Learn to: Analyze structured and unstructured data ; Use algorithms and data analysis techniques ; Build clustering, classificaion and statistical models ; Apply predictive analytics to your website and marketing efforts"--Cover.
505			_a Introduction. -- pt. 1. Getting started with predictive analytics. Entering the arena ; Predictive analytics in the wild ; Exploring your data types and associated techniques ; Complexities of data -- pt. 2. Incorporating algorithms in your models. Applying models ; Identifying similarities in data ; Predicting the future using data classification -- pt. 3. Developing a roadmap. Convincing your management to adopt predictive analytics ; Preparing data ; Building a predictive model ; Visualization of analytical results -- pt. 4. Programming predictive analytics. Creating basic prediction examples ; Creating basic examples of unsupervised predictions ; Predictive modeling with R ; Avoiding analysis traps ; Targeting big data -- pt. 5. The part of tens. Ten reasons to implement predictive analytics ; Ten steps to build a predictive analytic model.
650			_aDecision making -- Data processing. _aDecision making -- Mathematical models. _aManagement -- Data processing. _aManagement -- Mathematical models. _aData mining. _aBig data.
700			_aChaouchi, Mohamed -- author
700			_aJung, Tommy -- author
942			_c1
999			_c14856 _d14856