Bari, Anasse <br/><br/>
Predictive analytics for dummies  
by Anasse Bari, Ph.D., Mohamed Chaouchi, and Tommy Jung 
 - 2nd ed. 
 - Hoboken, New York :  John Wiley and Sons,  c2017. 
 - viii, 443 p. :  ill. ;  24 cm. 
 - For dummies .
 - For dummies .
<br/><br/> Includes index. 
<br/><br/>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 --<br/>pt. 3. Developing a roadmap. Convincing your management to adopt predictive analytics ; Preparing data ; Building a predictive model ; Visualization of analytical results --<br/>pt. 4. Programming predictive analytics. Creating basic prediction examples ; Creating basic examples of unsupervised predictions ; Predictive modeling with R ; Avoiding analysis traps ; -- pt. 5. Targeting big data Getting ready for enterprise analytics pt. 6 The part of tens. Ten reasons to implement predictive analytics ; Ten steps to build a predictive analytic model. 
<br/><br/> Business 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. 
<br/><br/><label>ISBN: </label>9781119267003 1119267005 
<br/><br/><label>LCCN: </label>2016951998 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Management--Data processing<br/>Management--Mathematical models<br/>Data mining<br/>Management--Data processing
<br/><br/><label>Dewey Class. No.: </label>658.403802856312 BA PR