Predictive analytics for dummies /

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Combine business sense, statistics, and computers in a new and intuitive way, thanks to Big DataPredictive analytics is a branch of data mining that helps predict probabilities and trends. Predictive Analytics For Dummies explores the power of predictive analytics and how you can use it to make valu...

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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: Hoboken, N.J. : John Wiley & Sons, 2014.
©2014
Colección:--For dummies.
Temas:
Management > Data processing.
Management > Mathematical models.
Data mining.
Data Mining
Gestion > Informatique.
Gestion > Modèles mathématiques.
Exploration de données (Informatique)
BUSINESS & ECONOMICS > New Business Enterprises.
BUSINESS & ECONOMICS > Industrial Management.
BUSINESS & ECONOMICS > Management.
BUSINESS & ECONOMICS > Management Science.
BUSINESS & ECONOMICS > Organizational Behavior.
New Business Enterprises.
Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik.
Data mining
Management > Data processing
Management > Mathematical models
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • 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.

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