logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Machine Learning With Sas Viya Sas Institute Inc

  • SKU: BELL-11358422
Machine Learning With Sas Viya Sas Institute Inc
$ 31.00 $ 45.00 (-31%)

0.0

0 reviews

Machine Learning With Sas Viya Sas Institute Inc instant download after payment.

Publisher: SAS Institute
File Extension: EPUB
File size: 31.88 MB
Pages: 386
Author: SAS Institute Inc.
ISBN: 9781951685379, 1951685377
Language: English
Year: 2020

Product desciption

Machine Learning With Sas Viya Sas Institute Inc by Sas Institute Inc. 9781951685379, 1951685377 instant download after payment.

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

Related Products