Machine Learning with SAS Viya

Sas Institute Inc

$77.95 $66.11

Paperback

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English

SAS Institute
29 May 2020

Artificial intelligence; Neural networks & fuzzy systems

Master machine learning with SAS Viya!

Machine learning can feel intimidating for new practitioners. Machine Learning with SAS Viya provides everything you need to know to get started with machine learning in SAS Viya, including decision trees, neural networks, and support vector machines. The analytics life cycle is covered from data preparation and discovery to deployment. Working with open-source code? Machine Learning with SAS Viya has you covered - step-by-step instructions are given on how to use SAS Model Manager tools with open source. SAS Model Studio features are highlighted to show how to carry out machine learning in SAS Viya. Demonstrations, practice tasks, and quizzes are included to help sharpen your skills.

In this book, you will learn about:

Supervised and unsupervised machine learning Data preparation and dealing with missing and unstructured data Model building and selection Improving and optimizing models Model deployment and monitoring performance

Created by: Sas Institute Inc
Imprint: SAS Institute
Dimensions: Height: 235mm, Width: 191mm, Spine: 20mm
Weight: 662g
ISBN: 9781951685300
ISBN 10: 195168530X
Pages: 386
Publication Date: 29 May 2020
Audience: General/trade , ELT Advanced
Format: Paperback
Publisher's Status: Active

Reviews for Machine Learning with SAS Viya

For an advanced tool such as SAS Viya, you need a companion book with real-world applications to guide you through the new frontier. This book helps you to maximize your utilization of SAS Viya. Methods in this unique book show how to remove noise and redundancy so that you can focus on the clear underlying message. Sunil Gupta, Founder of SASSavvy.com What is really nice about the book is that each technique has a detailed explanation of how it works and simple graphic examples are provided to demonstrate how to accomplish whatever your goal is. Overall, this demonstrates that just as these techniques have come a long way so too has the SAS environment and methodology -- producing a solution platform that incorporates best practices and is both powerful and easy to use. Barry deVille, Data Science, IT Professional