Machine Learning with Qlik Sense: Utilize different machine learning models in practical use cases by leveraging Qlik Sense - Softcover

Ranta, Hannu

Softcover

ISBN 10: 1805126156 ISBN 13: 9781805126157

Publisher: Packt Publishing, 2023

Synopsis

Master the art of machine learning utilizing Qlik platform and take your data analytics skills to the next level

Key Features

• Master the concepts of machine learning and problem definition
• Explore the application of machine learning principles within the Qlik platform
• Apply your knowledge to real-world scenarios with practical examples

Book Description

The ability to forecast future trends through data prediction, coupled with the integration of machine learning and artificial intelligence, has become an indispensable concept for global enterprises. Qlik stands out as a leading analytics platform, endowed with extensive machine learning capabilities, enabling businesses to achieve a profound comprehension of their data. "Machine Learning with Qlik Sense" serves as a guiding beacon to maximize these capabilities, employing hands-on illustrations to enhance data-driven decision-making.

Embarking on this journey, you'll cultivate an understanding of machine learning concepts and algorithms, building a foundation that paves the way for subsequent chapters. The book navigates you 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, translating them into pragmatic machine learning solutions. Advanced visualization methods will also be at your disposal, facilitating clearer presentation of findings, complemented by an array of real-world instances to bolster your skill set.

As you conclude your expedition, you will have attained mastery in the art of machine learning with Qlik tools. Armed with this vital skill set, your journey in data analytics will be empowered to reach new heights.

What you will learn

• Learn to build practical machine learning solutions with Qlik platform
• Acquire the skills to generate and verify machine learning models using the Qlik platform
• Discover the techniques for preparing and investigating data to craft machine learning solutions
• Understand how to transform real world business problems to machine learning models
• Expand your potential with data analytics to new use cases
• Learn advanced visualization techniques to bring your models alive

Who This Book Is For

If you are interested in data and analytics with a will to extend your skillset to machine learning, this book is for you. In order to learn from this book, you should have basic knowledge of working with data, preferably with Qlik tools. This book is an excellent guide for everyone willing to take a next step on their journey and start using machine learning as a part of their data analytics journey.

Table of Contents

1. Introduction to machine learning with Qlik
2. Machine learning algorithms and models with Qlik
3. Data literacy in machine learning context
4. Creating a good machine learning solution with Qlik platform
5. Setting up the environments
6. Preprocessing and exploring data with Qlik Sense
7. Deploying and monitoring machine learning models
8. Utilising Qlik AutoML
9. Advanced data visualisation techniques for machine learning solutions
10. Examples and case studies
11. Future direction

About this title

About the Author

Hannu Ranta is a top-notch data and cloud professional with a wide technical knowledge. He has worked with big data, IoT and analytics solutions with the largest enterprises across the globe. While having a problem-solving mindset, he always enjoys finding new innovative solutions to help customers to deliver value. Hannu obtained his Master of Science degree with distinction in 2015 and has worked in leading data companies like Qlik, Microsoft and Cubiq Analytics since then. Currently he is a Principal Enterprise Architect for Nordic region at Qlik.

Edition details

• Publisher: Packt Publishing
• Publication date: 2023
• Language: English
• ISBN 10: 1805126156
• ISBN 13: 9781805126157
• Binding: Paperback
• Number of pages: 242