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Johan Raeymaeckers
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.
Read more
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.
Read more
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/gbqa23/machine
What's inside
Syllabus
Course Overview
Introduction to Machine Learning with Splunk
Installing the Machine Learning Toolkit (MLTK)
Preparing Data and Training a Model
Read more
Syllabus
Course Overview
Introduction to Machine Learning with Splunk
Installing the Machine Learning Toolkit (MLTK)
Preparing Data and Training a Model
Read more
Evaluating and Deploying a Model
Classification Scenario
Time Series Forecasting Scenario
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops capabilities to develop, deploy, and manage machine learning models using Splunk
Strengthens foundation of managing machine learning models using tools from Splunk
Taught by Johan Raeymaeckers, an expert instructor with deep knowledge of machine learning in the Splunk environment
Highly relevant for those in IT who want to leverage machine learning capabilities in their work
Save this course
Save Machine Learning with Splunk to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Machine Learning with Splunk with these
activities:
Review machine learning concepts
Show steps
Reviewing machine learning concepts will provide you with a stronger foundation for the course.
Browse courses on
Machine Learning
Show steps
-
Read introductory articles or blog posts on machine learning
-
Watch online tutorials on machine learning fundamentals
Review Applied Statistics
Show steps
Understand and apply statistical methods for modeling and analyzing data.
Browse courses on
Probability
Show steps
-
Review key statistical concepts such as probability distributions, hypothesis testing, and regression analysis
-
Practice solving statistical problems to strengthen understanding
-
Enroll in an online course or workshop to refresh skills
Review Search Processing Language
Show steps
Review Search Processing Language (SPL) to solidify existing knowledge and better prepare for this course.
Browse courses on
Search Processing Language
Show steps
-
Review SPL syntax and key functions
-
Practice writing search queries using SPL
15 other activities
Expand to see all activities and additional details
Show all 18 activities
Organize and Review Course Content
Show steps
Consolidate and reinforce your understanding of course concepts.
Show steps
-
Review lecture notes, assignments, and quizzes
-
Summarize key concepts and create mind maps to enhance retention
MLTK Quickstart Tutorial
Show steps
Follow the MLTK Quickstart Tutorial to gain hands-on experience with installing and configuring Splunk MLTK.
Show steps
-
Download and install Splunk MLTK
-
Run the quickstart script
Explore Machine Learning Toolkit Documentation
Show steps
Gain familiarity with the capabilities and syntax of the Splunk Machine Learning Toolkit.
Show steps
-
Read the official documentation for the Splunk Machine Learning Toolkit
-
Follow tutorials and examples to learn how to use the Toolkit effectively
Splunk MLTK Workshop
Show steps
Attend a Splunk MLTK workshop to gain hands-on experience and in-depth knowledge of the toolkit.
Show steps
-
Find a Splunk MLTK workshop
-
Register and attend the workshop
Follow tutorials on Splunk Machine Learning Toolkit
Show steps
Following tutorials will help you familiarize yourself with the Splunk MLTK and its capabilities.
Show steps
-
Find online tutorials on Splunk MLTK
-
Follow the tutorials step-by-step and practice using the MLTK
Practice Splunk Search Processing Language
Show steps
Practicing SPL will enhance your ability to use it effectively for machine learning tasks.
Show steps
-
Find online exercises or practice problems on SPL
-
Solve the exercises and practice using SPL commands
Host or Participate in Study Groups
Show steps
Collaborate with peers to reinforce understanding and exchange insights.
Show steps
-
Organize or join a study group with classmates
-
Discuss course concepts, share notes, and work on assignments together
-
Present and receive feedback on learning progress from peers
Classification Model Development
Show steps
Develop a classification model using Splunk to reinforce concepts learned about data pre-processing, model training, and evaluation.
Browse courses on
Machine Learning
Show steps
-
Prepare training data
-
Select and train a classification model
-
Evaluate model performance
Attend a Machine Learning Workshop
Show steps
Gain hands-on experience and learn from experts in the field.
Show steps
-
Research and identify machine learning workshops tailored to your interests
-
Attend the workshop and actively participate in exercises and discussions
Develop a machine learning model using Splunk MLTK
Show steps
Building a machine learning model using Splunk MLTK will provide you with hands-on experience and reinforce your understanding of the process.
Browse courses on
Machine Learning Model
Show steps
-
Choose a machine learning problem to solve
-
Prepare and pre-process the data using Splunk MLTK
-
Train and evaluate a machine learning model using Splunk MLTK
Build a Predictive Model
Show steps
Apply the steps of a machine learning workflow to a real-world problem.
Show steps
-
Define the problem and gather relevant data
-
Preprocess and transform the data for modeling
-
Train and evaluate a machine learning model
-
Deploy and monitor the model in a production environment
Time Series Forecasting Project
Show steps
Start a project to develop a time series forecasting model using Splunk MLTK.
Browse courses on
Time Series Forecasting
Show steps
-
Gather and prepare time series data
-
Select and train a time series forecasting model
-
Evaluate and deploy the model
Contribute to Open-Source Machine Learning Projects
Show steps
Enhance your understanding and contribute to the machine learning community.
Show steps
-
Identify open-source machine learning projects that align with your interests
-
Review the project documentation and contribute bug fixes or code improvements
Enter a Machine Learning Competition
Show steps
Challenge yourself and showcase your skills in a competitive setting.
Show steps
-
Identify a machine learning competition that aligns with your interests
-
Prepare for the competition by developing a strategy and honing your skills
-
Participate in the competition and submit your solution
Splunk MLTK Toolkit Guide
Show steps
Create a comprehensive guide on Splunk MLTK Toolkit by gathering and organizing resources to support learning and retention of machine learning in Splunk.
Browse courses on
Machine Learning
Show steps
-
Collect relevant documentation on Splunk MLTK Toolkit
-
Organize and structure the collected resources in a coherent manner
-
Review and refine the guide for clarity and completeness
Review machine learning concepts
Show steps
Reviewing machine learning concepts will provide you with a stronger foundation for the course.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Read introductory articles or blog posts on machine learning
- Watch online tutorials on machine learning fundamentals
Review Applied Statistics
Show steps
Understand and apply statistical methods for modeling and analyzing data.
Browse courses on
Probability
Show steps
Show steps
Show steps
- Review key statistical concepts such as probability distributions, hypothesis testing, and regression analysis
- Practice solving statistical problems to strengthen understanding
- Enroll in an online course or workshop to refresh skills
Review Search Processing Language
Show steps
Review Search Processing Language (SPL) to solidify existing knowledge and better prepare for this course.
Browse courses on
Search Processing Language
Show steps
Show steps
Show steps
- Review SPL syntax and key functions
- Practice writing search queries using SPL
15 other activities
Expand to see all activities and additional details
Show all 18 activities
Organize and Review Course Content
Show steps
Consolidate and reinforce your understanding of course concepts.
Show steps
Show steps
Show steps
- Review lecture notes, assignments, and quizzes
- Summarize key concepts and create mind maps to enhance retention
MLTK Quickstart Tutorial
Show steps
Follow the MLTK Quickstart Tutorial to gain hands-on experience with installing and configuring Splunk MLTK.
Show steps
Show steps
Show steps
- Download and install Splunk MLTK
- Run the quickstart script
Explore Machine Learning Toolkit Documentation
Show steps
Gain familiarity with the capabilities and syntax of the Splunk Machine Learning Toolkit.
Show steps
Show steps
Show steps
- Read the official documentation for the Splunk Machine Learning Toolkit
- Follow tutorials and examples to learn how to use the Toolkit effectively
Splunk MLTK Workshop
Show steps
Attend a Splunk MLTK workshop to gain hands-on experience and in-depth knowledge of the toolkit.
Show steps
Show steps
Show steps
- Find a Splunk MLTK workshop
- Register and attend the workshop
Follow tutorials on Splunk Machine Learning Toolkit
Show steps
Following tutorials will help you familiarize yourself with the Splunk MLTK and its capabilities.
Show steps
Show steps
Show steps
- Find online tutorials on Splunk MLTK
- Follow the tutorials step-by-step and practice using the MLTK
Practice Splunk Search Processing Language
Show steps
Practicing SPL will enhance your ability to use it effectively for machine learning tasks.
Show steps
Show steps
Show steps
- Find online exercises or practice problems on SPL
- Solve the exercises and practice using SPL commands
Host or Participate in Study Groups
Show steps
Collaborate with peers to reinforce understanding and exchange insights.
Show steps
Show steps
Show steps
- Organize or join a study group with classmates
- Discuss course concepts, share notes, and work on assignments together
- Present and receive feedback on learning progress from peers
Classification Model Development
Show steps
Develop a classification model using Splunk to reinforce concepts learned about data pre-processing, model training, and evaluation.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Prepare training data
- Select and train a classification model
- Evaluate model performance
Attend a Machine Learning Workshop
Show steps
Gain hands-on experience and learn from experts in the field.
Show steps
Show steps
Show steps
- Research and identify machine learning workshops tailored to your interests
- Attend the workshop and actively participate in exercises and discussions
Develop a machine learning model using Splunk MLTK
Show steps
Building a machine learning model using Splunk MLTK will provide you with hands-on experience and reinforce your understanding of the process.
Browse courses on
Machine Learning Model
Show steps
Show steps
Show steps
- Choose a machine learning problem to solve
- Prepare and pre-process the data using Splunk MLTK
- Train and evaluate a machine learning model using Splunk MLTK
Build a Predictive Model
Show steps
Apply the steps of a machine learning workflow to a real-world problem.
Show steps
Show steps
Show steps
- Define the problem and gather relevant data
- Preprocess and transform the data for modeling
- Train and evaluate a machine learning model
- Deploy and monitor the model in a production environment
Time Series Forecasting Project
Show steps
Start a project to develop a time series forecasting model using Splunk MLTK.
Browse courses on
Time Series Forecasting
Show steps
Show steps
Show steps
- Gather and prepare time series data
- Select and train a time series forecasting model
- Evaluate and deploy the model
Contribute to Open-Source Machine Learning Projects
Show steps
Enhance your understanding and contribute to the machine learning community.
Show steps
Show steps
Show steps
- Identify open-source machine learning projects that align with your interests
- Review the project documentation and contribute bug fixes or code improvements
Enter a Machine Learning Competition
Show steps
Challenge yourself and showcase your skills in a competitive setting.
Show steps
Show steps
Show steps
- Identify a machine learning competition that aligns with your interests
- Prepare for the competition by developing a strategy and honing your skills
- Participate in the competition and submit your solution
Splunk MLTK Toolkit Guide
Show steps
Create a comprehensive guide on Splunk MLTK Toolkit by gathering and organizing resources to support learning and retention of machine learning in Splunk.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Collect relevant documentation on Splunk MLTK Toolkit
- Organize and structure the collected resources in a coherent manner
- Review and refine the guide for clarity and completeness
Career center
Learners who complete Machine Learning with Splunk will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and maintain machine learning models that power a wide range of products and services. They use their knowledge of machine learning algorithms and data analysis techniques to develop models that can learn from data and make predictions or decisions. Splunk is a popular platform for machine learning, and Machine Learning with Splunk teaches you how to use Splunk's machine learning capabilities to build and deploy machine learning models. This course can help you build a strong foundation for a career as a Machine Learning Engineer.
Data Scientist
Data Scientist
Data Scientists are responsible for solving complex business problems using data. They use a variety of data analysis techniques to extract insights from data, and they develop machine learning models to automate decision making. Splunk is a powerful data analysis and machine learning platform, and Machine Learning with Splunk teaches you how to use Splunk's capabilities to solve real-world business problems. This course can help you build a strong foundation for a career as a Data Scientist.
Data Analyst
Data Analyst
Data Analysts help businesses make insightful decisions by analyzing and interpreting data. They use software tools to clean, transform, and visualize data, uncovering patterns that can be used to improve decision making. Splunk is a powerful data analysis tool that can help Data Analysts perform complex tasks quickly and efficiently. Machine Learning with Splunk teaches you how to use Splunk's machine learning capabilities to automate data processing and decision making. This course can help you build a strong foundation for a career as a Data Analyst.
Business Analyst
Business Analyst
Business Analysts help businesses make better decisions by providing them with insights into their data. They use data analysis techniques to identify trends and patterns, and they develop recommendations for how to improve business processes. Splunk is a powerful data analysis tool that can help Business Analysts perform complex tasks quickly and efficiently. Machine Learning with Splunk teaches you how to use Splunk's machine learning capabilities to automate data processing and decision making. This course can help you build a strong foundation for a career as a Business Analyst.
Operations Analyst
Operations Analyst
Operations Analysts help businesses optimize their operations and improve efficiency. They use data analysis techniques to identify inefficiencies and develop recommendations for how to improve processes. Splunk is a powerful data analysis tool that can help Operations Analysts perform complex tasks quickly and efficiently. Machine Learning with Splunk teaches you how to use Splunk's machine learning capabilities to automate data processing and decision making. This course can help you build a strong foundation for a career as an Operations Analyst.
Risk Analyst
Risk Analyst
Risk Analysts help businesses identify and mitigate risks. They use data analysis techniques to evaluate risk data and develop recommendations for how to improve risk management strategies. Splunk is a powerful data analysis tool that can help Risk Analysts perform complex tasks quickly and efficiently. Machine Learning with Splunk teaches you how to use Splunk's machine learning capabilities to automate data processing and decision making. This course can help you build a strong foundation for a career as a Risk Analyst.
Product Manager
Product Manager
Product Managers are responsible for managing the development and launch of new products. They work with engineers, designers, and other stakeholders to define product requirements, set priorities, and track progress. Splunk is a popular platform for building data-driven products, and Machine Learning with Splunk teaches you how to use Splunk's capabilities to develop machine learning products. This course can help you build a strong foundation for a career as a Product Manager.
Data Engineer
Data Engineer
Data Engineers build and maintain the infrastructure that supports data analysis and machine learning. They work with data scientists and other stakeholders to design and implement data pipelines that collect, store, and process data. Splunk is a popular platform for data engineering, and Machine Learning with Splunk teaches you how to use Splunk's capabilities to build and manage data pipelines. This course can help you build a strong foundation for a career as a Data Engineer.
Compliance Analyst
Compliance Analyst
Compliance Analysts help businesses ensure that they are compliant with all applicable laws and regulations. They use data analysis techniques to evaluate compliance data and develop recommendations for how to improve compliance strategies. Splunk is a powerful data analysis tool that can help Compliance Analysts perform complex tasks quickly and efficiently. Machine Learning with Splunk teaches you how to use Splunk's machine learning capabilities to automate data processing and decision making. This course can help you build a strong foundation for a career as a Compliance Analyst.
Sales Analyst
Sales Analyst
Sales Analysts help businesses understand their sales data and identify opportunities for growth. They use data analysis techniques to identify trends and patterns in sales data, and they develop recommendations for how to improve sales strategies. Splunk is a powerful data analysis tool that can help Sales Analysts perform complex tasks quickly and efficiently. Machine Learning with Splunk teaches you how to use Splunk's machine learning capabilities to automate data processing and decision making. This course can help you build a strong foundation for a career as a Sales Analyst.
Fraud Analyst
Fraud Analyst
Fraud Analysts help businesses detect and prevent fraud. They use data analysis techniques to evaluate fraud data and develop recommendations for how to improve fraud detection and prevention strategies. Splunk is a powerful data analysis tool that can help Fraud Analysts perform complex tasks quickly and efficiently. Machine Learning with Splunk teaches you how to use Splunk's machine learning capabilities to automate data processing and decision making. This course can help you build a strong foundation for a career as a Fraud Analyst.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They use their knowledge of programming languages and software engineering principles to build software that meets the needs of users. Splunk is a popular platform for building data-driven applications, and Machine Learning with Splunk teaches you how to use Splunk's capabilities to develop machine learning applications. This course can help you build a strong foundation for a career as a Software Engineer.
Financial Analyst
Financial Analyst
Financial Analysts help businesses make informed financial decisions. They use data analysis techniques to evaluate financial data and develop recommendations for how to improve financial performance. Splunk is a powerful data analysis tool that can help Financial Analysts perform complex tasks quickly and efficiently. Machine Learning with Splunk teaches you how to use Splunk's machine learning capabilities to automate data processing and decision making. This course can help you build a strong foundation for a career as a Financial Analyst.
Marketing Analyst
Marketing Analyst
Marketing Analysts help businesses understand their customers and target their marketing campaigns more effectively. They use data analysis techniques to identify customer trends and preferences, and they develop recommendations for how to improve marketing strategies. Splunk is a powerful data analysis tool that can help Marketing Analysts perform complex tasks quickly and efficiently. Machine Learning with Splunk teaches you how to use Splunk's machine learning capabilities to automate data processing and decision making. This course can help you build a strong foundation for a career as a Marketing Analyst.
For more career information including salaries, visit:
OpenCourser.com/course/gbqa23/machine
Reading list
We've selected nine books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Machine Learning with Splunk.
Provides a comprehensive introduction to deep learning with PyTorch. It covers all the essential concepts and algorithms, and it includes plenty of practical examples. It valuable resource for anyone who wants to learn more about deep learning with PyTorch.
Provides a collection of recipes for machine learning with Python. It covers a wide range of topics, including data preprocessing, feature engineering, model training, and model evaluation. It valuable resource for anyone who wants to learn more about machine learning with Python.
Provides a comprehensive introduction to machine learning with Python. It covers all the essential concepts and algorithms, and it includes plenty of practical examples. It valuable resource for anyone who wants to learn more about machine learning.
Provides a hands-on introduction to machine learning with Python. It covers all the essential concepts and algorithms, and it includes plenty of practical examples. It valuable resource for anyone who wants to learn more about machine learning.
Provides a comprehensive introduction to statistical learning. It covers all the essential concepts and algorithms, and it includes plenty of practical examples. It valuable resource for anyone who wants to learn more about statistical learning.
Save
Provides a comprehensive overview of data mining. It covers all the essential concepts and algorithms, and it includes plenty of practical examples. It valuable resource for anyone who wants to learn more about data mining.
Provides a comprehensive introduction to machine learning with R. It covers all the essential concepts and algorithms, and it includes plenty of practical examples. It valuable resource for anyone who wants to learn more about machine learning with R.
Provides a practical introduction to deep learning with Python. It covers the basics of deep learning, as well as more advanced topics such as convolutional neural networks and recurrent neural networks. It valuable resource for anyone who wants to learn more about deep learning.
Provides a gentle introduction to machine learning. It covers the basics of machine learning, as well as more advanced topics such as statistical learning and Bayesian inference. It valuable resource for anyone who wants to learn more about machine learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/gbqa23/machine
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Time
129 hours
Level
Introductory
Via
Pluralsight
Instructor
Johan Raeymaeckers
Language
English
Good to know
Develops capabilities to develop, deploy, and manage machine learning models using Splunk
Strengthens foundation of managing machine learning models using tools from Splunk
Taught by Johan Raeymaeckers, an expert instructor with deep knowledge of machine learning in the Splunk environment
Highly relevant for those in IT who want to leverage machine learning capabilities in their work
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