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Implementing Splunk 7, Third Edition

You're reading from   Implementing Splunk 7, Third Edition Effective operational intelligence to transform machine-generated data into valuable business insight

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Product type Paperback
Published in Mar 2018
Publisher Packt
ISBN-13 9781788836289
Length 576 pages
Edition 3rd Edition
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Author (1):
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James D. Miller James D. Miller
Author Profile Icon James D. Miller
James D. Miller
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Table of Contents (15) Chapters Close

Preface 1. The Splunk Interface FREE CHAPTER 2. Understanding Search 3. Tables, Charts, and Fields 4. Data Models and Pivots 5. Simple XML Dashboards 6. Advanced Search Examples 7. Extending Search 8. Working with Apps 9. Building Advanced Dashboards 10. Summary Indexes and CSV Files 11. Configuring Splunk 12. Advanced Deployments 13. Extending Splunk 14. Machine Learning Toolkit

Machine Learning Toolkit

The Splunk Machine Learning Toolkit (app), upgraded in version 7.0, delivers special new SPL commands, custom visualizations, assistants, and plenty of examples (referred to as showcases) to explore a variety of machine learning concepts. This chapter focuses on machine learning using one of Splunk's newest features—the Splunk Machine Learning Toolkit.

We will cover the following topics:

  • What is machine learning?
  • Defining the toolkit.
  • The toolkit workbench.
  • Assistants.
  • Extended SPL.
  • Building a model.

In this chapter, you will come to understand what is meant by the term machine learning and how Splunk's Machine Learning Toolkit can be used to create a machine learning model, even if you are not a senior data scientist with extended statistics or machine learning experience!

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