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

Exploring data and finding insights

Qlik Insight Advisor is a feature in Qlik Sense that uses natural language processing and artificial intelligence to help users explore data and discover insights. By using Qlik Insight Advisor, you can leverage the power of natural language processing and AI to explore your data, ask questions, and discover meaningful insights.

In Chapter 1, we already learned some of the basics of Insight Advisor. It is also possible to explore data and find insights using Qlik objects and visualizations without the augmented intelligence features. We will take a closer look at how to create visualizations this way in a later section of this book. In this section, we will discover how Insight Advisor will help us to get meaningful insights out of the data.

We will begin by using the Sales Multi Table.xlsx file as our source data. We already created a data model on top of that dataset earlier in this chapter and loaded the data into an associative engine....