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

Setting Up the Environments

In previous chapters, we discovered some of the theories and frameworks behind machine learning problems. In this chapter, we will move toward practical implementation. Installing Qlik machine learning environments is an essential step in leveraging the power of machine learning within Qlik Sense. In this chapter, we will cover the process of installing and setting up various Qlik machine learning environments.

By the end of this chapter, we will have a solid understanding of the installation and configuration process for Qlik machine learning environments, allowing us to leverage the power of machine learning within Qlik Sense for data-driven decision making.

Here is what we will learn as part of this chapter:

  • Advanced Analytics Integration with R and Python
  • Setting up Qlik AutoML
  • Cloud integrations with REST