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Machine Learning with SAS Viya - (Paperback) - 1 of 1

Machine Learning with SAS Viya - (Paperback)

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About this item

Highlights

  • Master machine learning with SAS Viya!
  • 386 Pages
  • Computers + Internet,

Description



Book Synopsis



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



Review Quotes




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



Dimensions (Overall): 9.25 Inches (H) x 7.5 Inches (W) x .8 Inches (D)
Weight: 1.46 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 386
Genre: Computers + Internet
Publisher: SAS Institute
Format: Paperback
Language: English
Street Date: May 29, 2020
TCIN: 1008496443
UPC: 9781951685300
Item Number (DPCI): 247-16-5369
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.8 inches length x 7.5 inches width x 9.25 inches height
Estimated ship weight: 1.46 pounds
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Q: What is the target audience for this book?

submitted by AI Shopping Assistant - 3 days ago
  • A: The book is aimed at individuals aged 22 years and up, particularly new practitioners.

    submitted byAI Shopping Assistant - 3 days ago
    Ai generated

Q: Are there any open-source code instructions in the book?

submitted by AI Shopping Assistant - 3 days ago
  • A: Yes, it provides step-by-step instructions for using SAS Model Manager tools with open-source code.

    submitted byAI Shopping Assistant - 3 days ago
    Ai generated

Q: Does the book include practical exercises for learning?

submitted by AI Shopping Assistant - 3 days ago
  • A: Yes, it includes demonstrations, practice tasks, and quizzes to enhance your skills.

    submitted byAI Shopping Assistant - 3 days ago
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Q: What is the format of the book?

submitted by AI Shopping Assistant - 3 days ago
  • A: The book is available in paperback format, making it easy to read and reference.

    submitted byAI Shopping Assistant - 3 days ago
    Ai generated

Q: What topics are covered in this machine learning book?

submitted by AI Shopping Assistant - 3 days ago
  • A: The book covers supervised and unsupervised learning, data preparation, model building, and deployment.

    submitted byAI Shopping Assistant - 3 days ago
    Ai generated

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