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Machine Learning with Qlik Sense

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

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Product type Paperback
Published in Oct 2023
Publisher Packt
ISBN-13 9781805126157
Length 242 pages
Edition 1st Edition
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Author (1):
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Hannu Ranta Hannu Ranta
Author Profile Icon Hannu Ranta
Hannu Ranta
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Table of Contents (17) Chapters Close

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 16. Other Books You May Enjoy

Future Direction

In the vast landscape of technological advancements, few innovations have captivated the world’s imagination and transformed industries as profoundly as machine learning and artificial intelligence (AI). These groundbreaking fields have the power to reshape our societies, revolutionize the way we work, and fundamentally alter the course of human existence. As we stand on the precipice of a new era, this chapter aims to explore the future of machine learning and AI, unraveling the intricacies of these technologies and envisioning their potential impact on various aspects of our lives.

In this chapter, we will look at the current and future trends in machine learning and AI. We will also learn the life cycle of megatrends and how to read them.

In this chapter, we will learn about the following topics:

  • The future trends of machine learning and AI
  • How to recognize potential megatrends
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