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

What is data literacy?

As stated previously, data literacy refers to the ability to read, analyze, and understand data. It encompasses a range of skills, including the ability to read and interpret data visualizations, understand statistical concepts, and apply critical thinking to data analysis. Data literacy is becoming increasingly important in today’s data-driven world, as individuals and organizations are faced with ever-growing amounts of data that need to be analyzed and interpreted in order to make informed decisions.

In many fields, such as business, healthcare, and government, data literacy has become a crucial skill, and it’s also vital in the field of machine learning, where models are only as good as the data they are trained on.

Data literacy is not just about technical skills, but also includes the ability to critically evaluate data and identify potential biases or limitations. It involves a mindset of curiosity, skepticism, and a willingness to...