Predictive analytics for dummies - Info and Reading Options
By Anasse Bari
"Predictive analytics for dummies" was published by John Wiley & Sons, Inc. in 2014 - Hoboken, NJ, it has 344 pages and the language of the book is English.
“Predictive analytics for dummies” Metadata:
- Title: ➤ Predictive analytics for dummies
- Author: Anasse Bari
- Language: English
- Number of Pages: 344
- Publisher: John Wiley & Sons, Inc.
- Publish Date: 2014
- Publish Location: Hoboken, NJ
“Predictive analytics for dummies” Subjects and Themes:
- Subjects: ➤ Mathematical models - Management - Data processing - Data mining - Business forecasting, data processing - Business forecasting
Edition Specifications:
- Pagination: xii, 344 pages
Edition Identifiers:
- The Open Library ID: OL31015174M - OL20038524W
- Online Computer Library Center (OCLC) ID: 869793254
- Library of Congress Control Number (LCCN): 2013954216
- ISBN-13: 9781118728963
- ISBN-10: 1118728963
- All ISBNs: 1118728963 - 9781118728963
AI-generated Review of “Predictive analytics for dummies”:
"Predictive analytics for dummies" Table Of Contents:
- 1- Introduction. -- pt. 1.
- 2- Getting started with predictive analytics. Entering the arena ;
- 3- Predictive analytics in the wild ;
- 4- Exploring your data types and associated techniques ;
- 5- Complexities of data -- -- pt. 2.
- 6- Incorporating algorithms in your models. Applying models ;
- 7- Identifying similarities in data ;
- 8- Predicting the future using data classification -- -- pt. 3.
- 9- Developing a roadmap. Convincing your management to adopt predictive analytics ;
- 10- Preparing data ;
- 11- Building a predictive model ;
- 12- Visualization of analytical results -- -- pt. 4.
- 13- Programming predictive analytics. Creating basic prediction examples ;
- 14- Creating basic examples of unsupervised predictions ;
- 15- Predictive modeling with R ;
- 16- Avoiding analysis traps ;
- 17- Targeting big data -- -- pt. 5. The
- 18- part of tens.
- 19- Ten reasons to implement predictive analytics ;
- 20- Ten steps to build a predictive analytic model.
"Predictive analytics for dummies" Description:
The Open Library:
Predict the future! This practical guide will help you use Big Data and technology to discover real-world insights, define projects, and help you create goals.
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