You're reading from Machine Learning with Qlik Sense Utilize different machine learning models in practical use cases by leveraging Qlik Sense

Product type Paperback

Published in Oct 2023

Publisher Packt

ISBN-13 9781805126157

Length 242 pages

Edition 1st Edition

Tools

Qlik Sense

Concepts

Data Engineering

Author (1):

Hannu Ranta

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Table of Contents (17) Chapters

Preface

1. Part 1:Concepts of Machine Learning

2. Chapter 1: Introduction to Machine Learning with Qlik FREE CHAPTER

3. Chapter 2: Machine Learning Algorithms and Models with Qlik

4. Chapter 3: Data Literacy in a Machine Learning Context

5. Chapter 4: Creating a Good Machine Learning Solution with the Qlik Platform

6. Part 2: Machine learning algorithms and models with Qlik

7. Chapter 5: Setting Up the Environments

8. Chapter 6: Preprocessing and Exploring Data with Qlik Sense

9. Chapter 7: Deploying and Monitoring Machine Learning Models

10. Chapter 8: Utilizing Qlik AutoML

11. Chapter 9: Advanced Data Visualization Techniques for Machine Learning Solutions

12. Part 3: Case studies and best practices

13. Chapter 10: Examples and Case Studies

14. Chapter 11: Future Direction

15. Index

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Summary

In this chapter, we started to move a bit closer to implementing a machine learning solution with Qlik tools. We discovered the importance of forming a correct business question to be solved and what aspects should be considered when forming a problem.

We discovered some general steps of data preparation and how these should be handled. More detailed techniques for data modeling and transformations are introduced in Chapter 6. We also investigated the concept of model preparation and validation briefly.

At the end of this chapter, we discussed the importance of presentation and what to consider when visualizing results with Qlik. This topic is considered in more detail in Chapter 9.

In the next chapter, we are going to find out how to prepare environments for our machine learning solutions. We will install on-premises integration for R and Python, discover how to utilize APIs and Advanced Analytics integration to interact with Azure ML Studio and AWS SageMaker, and...

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You're reading from Machine Learning with Qlik Sense Utilize different machine learning models in practical use cases by leveraging Qlik Sense

Table of Contents (17) Chapters

Summary

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Table of Contents (17) Chapters

Summary

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