Predictive Analytics For Dummies, 2nd Edition - Brossura

Bari, Anasse

Brossura

ISBN 10: 1119267005 ISBN 13: 9781119267003

Casa editrice: For Dummies, 2016

Riassunto

Predictive Analytics For Dummies, 2e will help the you understand the core of predictive analytics and get started putting it to use with readily available tools to collect and analyze data. You will learn how to incorporate algorithms through discovering data models, identifying similarities and relationships in your data, and how to predict the future through data classification. You will develop a roadmap by preparing your data, creating goals, processing your data, and building a predictive model that will get stakeholder buy-in. The author will also address "soft" issues, including handling people, setting realistic goals, protecting budgets, making useful presentations, and more, to help the reader prepare for shepherding predictive analysis projects through their companies.

Coverage will include:

Real-world tips for creating business value

Common use cases to help you get started

Details on modeling, k-means clustering, and more

How you can predict the future with classification

Information on structuring your data

Methods for testing models

Hands-on guides to software installation

Tips on outlining business goals and approaches

Su questo libro

Informazioni sull?autore

Dr. Anasse Bari, Ph.D. is data science expert and a university professor who has many years of predictive modeling and data analytics experience.
Mohamed Chaouchi is a veteran software engineer who has conducted extensive research using data mining methods.
Tommy Jung is a software engineer with expertise in enterprise web applications and analytics.

Dalla quarta di copertina

Real-world tips for creating business value

Details on modeling, data clustering, and more

Enterprise use cases to help you get started

Learn to predict the future!

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.

Inside...

• How to start a project
• Identifying data types
• Modeling tips
• Working with algorithms
• How data clustering works
• How data classification works
• How deep learning works
• Advice on presentations
• Step-by-step predictive modeling

Dettagli dell'edizione

• Editore: For Dummies
• Data di pubblicazione: 2016
• Lingua: Inglese
• ISBN 10: 1119267005
• ISBN 13: 9781119267003
• Rilegatura: Copertina flessibile
• Numero edizione: 2
• Numero di pagine: 456
• Contatto del produttore: non disponibile
• Persona responsabile: Danilo Gaviraghi; 0039 02 733142; danilo.gaviraghi@hoepli.it; ; Via Hoepli 5; Milano; 20121; Italia