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)
1
Part 1:Concepts of Machine Learning
6
Part 2: Machine learning algorithms and models with Qlik
12
Part 3: Case studies and best practices

Introduction to Machine Learning with Qlik

Machine learning and artificial intelligence are two of the most powerful technology trends in the 21st century. Usage of these technologies is rapidly growing since the need for faster insights and forecasts has become crucial for companies. Qlik is a leading vendor in the analytics space and has heavily invested in machine learning and AI tools.

This first chapter will introduce the different machine learning tools in the Qlik ecosystem and provide basic information about the statistical models and principles behind these tools. It will also cover the concepts of correct sample size and how to analyze model performance and reliability.

Here is what we will cover in this first chapter:

  • An overview of the Qlik tools and platform
  • The basic statistical concepts of machine learning
  • Proper sample size and the defining factors of a sample
  • How to evaluate model performance and reliability