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Pluralsight

Machine Learning with Splunk

via Pluralsight

Overview

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You will learn how to configure and administer the Splunk Machine Learning Toolkit and understand how to use Splunk to manage an end to end machine learning scenario.

This course introduces you to machine learning with Splunk. In this course, Machine Learning with Splunk, you’ll learn how to use the Splunk core software and the Splunk Machine Learning Toolkit (MLTK) to manage an end to end machine learning pipeline. First, you’ll learn how to install and configure the Splunk MLTK. Next, you’ll discover how each step in a typical machine learning process is handled in the Splunk environment using the Splunk Search Processing Language. Every step in the machine learning process, including data pre-processing, data visualization, model training, validation, and deployment will be explained using a number of practical examples. When you’re finished with this course, you’ll have the skills and knowledge needed to manage all the steps of an entire machine learning process using the Splunk machine learning capabilities.

Syllabus

  • Course Overview 1min
  • Introduction to Machine Learning with Splunk 23mins
  • Installing the Machine Learning Toolkit (MLTK) 11mins
  • Preparing Data and Training a Model 21mins
  • Evaluating and Deploying a Model 24mins
  • Classification Scenario 23mins
  • Time Series Forecasting Scenario 23mins

Taught by

Johan Raeymaeckers

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