Welcome to download



Do not remember me!

 
We have Tested and found Below Host Trustable, Please Buy Premium account From Below Host.
UploadGIG.com nitroflare.com
Note: Do not Buy Premium account from Reseller

Latest Comments

    No comments
» » » Segmentation Analytics with SAS Viya: An Approach to Clustering and Visualization (True PDF)

Segmentation Analytics with SAS Viya: An Approach to Clustering and Visualization (True PDF)

Segmentation Analytics with SAS Viya: An Approach to Clustering and Visualization (True PDF)

English | 2021 | ISBN: 1951684052 | 136 pages | True PDF | 18.78 MB

Better understand your customers using segmentation analytics in SAS Viya!

Segmentation Analytics with SAS Viya: An Approach to Clustering and Visualizationdemonstrates the use of clustering and machine learning methods for the purpose of segmenting customer or client data into useful categories for marketing, market research, next best offers by segment, and more. This book highlights the latest and greatest methods available that show the power of SAS Viya while solving typical industry issues. Packed with real-world examples, this book provides readers with practical methods of using SAS Visual Data Mining and Machine Learning (VDMML), SAS Model Studio, SAS Visual Statistics, SAS Visual Analytics, and coding in SAS Studio for segmentation model development and analysis.

This book is designed for analysts, data miners, and data scientists who need to use the all in-memory
platform of SAS Viya for the purposes of clustering and segmentation. Understanding how customers behave is a primary objective of most organizations, and segmentation is a key analytic method for achieving that objective.

Download link:

Links are Interchangeable - Single Extraction - Premium is support resumable
UploadGIG.com

Please login or register

Dear visitor, you are browsing our website as Guest. We strongly recommend you to register and login to view hidden contents.

Comments (0)

Leave Comment

Name:*
E-Mail:
Security Code: *
Click on the image to refresh the code if it cannot be viewed