Book Image

Machine Learning with Qlik Sense

By : Hannu Ranta
Book Image

Machine Learning with Qlik Sense

By: Hannu Ranta

Overview of this book

The ability to forecast future trends through data prediction, coupled with the integration of ML and AI, has become indispensable to global enterprises. Qlik, with its extensive machine learning capabilities, stands out as a leading analytics platform enabling businesses to achieve exhaustive comprehension of their data. This book helps you maximize these capabilities by using hands-on illustrations to improve your ability to make data-driven decisions. You’ll begin by cultivating an understanding of machine learning concepts and algorithms, and build a foundation that paves the way for subsequent chapters. The book then helps you navigate through the process of framing machine learning challenges and validating model performance. Through the lens of Qlik Sense, you'll explore data preprocessing and analysis techniques, as well as find out how to translate these techniques into pragmatic machine learning solutions. The concluding chapters will help you get to grips with advanced data visualization methods to facilitate a clearer presentation of findings, complemented by an array of real-world instances to bolster your skillset. By the end of this book, you’ll have mastered the art of machine learning using Qlik tools and be able to take your data analytics journey to new heights.
Table of Contents (17 chapters)
Part 1:Concepts of Machine Learning
Part 2: Machine learning algorithms and models with Qlik
Part 3: Case studies and best practices


In this chapter, we took a brief look at the future of machine learning and AI. These transformative technologies have captivated the world’s imagination and hold the power to reshape societies and industries in profound ways. We explored the current and future trends in machine learning and AI, shedding light on the potential they hold to drive innovation and revolutionize various sectors.

Recognizing the importance of megatrends is crucial, and we provided a roadmap in this chapter to identify and evaluate these transformative shifts. By staying informed, analyzing historical data, monitoring societal shifts, studying technological advancements, and considering economic and geopolitical factors, we can gain valuable insights into the potential impact of megatrends.

As we look toward the future, our aim is to navigate the complexities of machine learning and AI, unravel their intricacies, and envision their potential impact on various aspects of our lives. By...