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Predictive analytics for dummies /

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Bari, Anasse (Autor), Chaouchi, Mohamed (Autor), Jung, Tommy (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [Place of publication not identified] : John Wiley & Sons, [2016]
Edición:2nd edition.
Colección:--For dummies.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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505 0 0 |g Introduction. --  |g pt. 1.  |t Getting started with predictive analytics. Entering the arena ;  |t Predictive analytics in the wild ;  |t Exploring your data types and associated techniques ;  |t Complexities of data --  |g pt. 2.  |t Incorporating algorithms in your models. Applying models ;  |t Identifying similarities in data ;  |t Predicting the future using data classification --  |g pt. 3.  |t Developing a roadmap. Convincing your management to adopt predictive analytics ;  |t Preparing data ;  |t Building a predictive model ;  |t Visualization of analytical results --  |g pt. 4.  |t Programming predictive analytics. Creating basic prediction examples ;  |t Creating basic examples of unsupervised predictions ;  |t Predictive modeling with R ;  |t Avoiding analysis traps ; --  |g pt. 5.  |t Targeting big data  |t Getting ready for enterprise analytics  |g pt. 6  |t The part of tens.  |t Ten reasons to implement predictive analytics ;  |t Ten steps to build a predictive analytic model. 
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