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 Qlik AutoML

Since Qlik AutoML is a SaaS solution, there is minimal setup required. In this section, we will look at the necessary steps to utilize AutoML. We will assume that a Qlik Cloud tenant is up and running. The Basic tier of Qlik AutoML is included as part of the Qlik Cloud subscription license. We will take a deep dive into Qlik AutoML itself in Chapter 8. To prepare our environment for that chapter, the following steps are needed:

  1. Navigate to Management Console in Qlik Cloud and open the Settings tab.
  2. Under the Feature control section, make sure that Machine learning endpoints is enabled, as seen in the following screenshot:
Figure 5.12: Machine learning endpoints setting

Figure 5.12: Machine learning endpoints setting

  1. Select Analytics Services and create a shared space called ML experiments. This will be our space for all the work done in Chapter 8.

Our cloud environment is now set up and ready. We will now explore various integrations that we can use...