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

Data Literacy in a Machine Learning Context

As we enter the age of artificial intelligence and machine learning, it’s becoming increasingly important to develop a foundational understanding of data literacy. In this chapter, we will explore the concept of data literacy and its critical role in the world of machine learning.

Data literacy refers to the ability to read, analyze, and understand data. With the rapid growth of data in our daily lives, data literacy has become a crucial skill for individuals, businesses, and organizations alike. In the context of machine learning, data literacy is especially important, as it forms the backbone of the entire process.

Machine learning models are only as good as the data they’re trained on, and data literacy plays a vital role in ensuring that the data used for training is of high quality, relevant, and free of bias.

In this chapter, we’re going to cover the following main topics:

  • Data literacy and the...