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 first got some hands-on experience with Qlik’s data manager and learned how to create data models using it. We also learned how to create calculated fields and investigate data. Creating a good data model and modifying data to be suitable for machine learning is the key to success.

We also discovered some of the basics of Qlik scripting and how that can be used to perform data transformations. We discovered some of the important functions and features of Qlik script. Scripting is an alternative way to create a data model and manipulate data. It is a powerful tool and can be also combined with modeling created in the data manager.

In a later part of the chapter, we learned some methods of validating and investigating the data. We familiarized ourselves with the data catalog and data lineage views and learned to utilize them in data validation. Data validation is a key step in any machine learning or data analytics project, and it is important...