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

Cloud integrations with REST

There are many third-party machine learning and AI platforms on the market. You can connect to most of these from Qlik Cloud. In this section, we will briefly look at the different options and requirements for each connection. We will not create the actual models on top of third-party tools in this chapter.

To start using connections to third-party machine learning endpoints, you must enable them from Management Console in Qlik Cloud. If you have been following this chapter from the beginning, we completed that step in the previous section.

There are dedicated connectors available for the most common machine learning tools out there. At the time of writing this book, the connectors are as follows:

  • The general Advanced Analytics connector
  • Amazon Comprehend connector
  • Amazon SageMaker connector
  • Azure ML connector
  • Azure OpenAI connector
  • Databricks MLflow connector
  • DataRobot connector
  • Qlik AutoML connector
  • Qlik GeoOperations...