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Key benefits

Gain a solid understanding of machine learning concepts and learn to effectively define a problem

Explore the application of machine learning principles within the Qlik platform

Apply your knowledge of ML to real-world scenarios with the help of practical examples

Purchase of the print or Kindle book includes a free PDF eBook

Description

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.

Who is this book for?

If you’re interested in data and analytics and are looking to extend your skillset to machine learning, this book is for you. Basic working knowledge of data, preferably with Qlik tools, will help you get started with this book. This is an excellent guide for anyone who wants to start using machine learning as part of their data analytics journey.

What you will learn

Find out how to build practical machine learning solutions with the Qlik platform

Develop the skills needed to generate and verify machine learning models using the Qlik platform

Discover techniques used for preparing and investigating data to craft machine learning solutions

Understand how to transform real-world business problems into machine learning models

Expand your potential to new use cases with data analytics

Explore advanced visualization techniques to make your models come alive

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

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Chaitanya Yadav Nov 27, 2023

In today's data-driven world, businesses are increasingly turning to machine learning to gain insights from their data and make better decisions. Qlik Sense is a powerful business intelligence tool that enables machine learning tasks to be performed, although it can be hard to determine the best course of action. A complete guide to the use of Qlik Sense in performing machine learning is given in this book, Machine Learning with Qlik Sense by Hannu Ranta.The book is well-organized and easy to follow, and it covers a wide range of topics, including:1. The basics of machine learning2. How to prepare data for machine learning3. How to train and evaluate machine learning models4. How to deploy machine learning models in Qlik Sense5. Data visualization for machine learningThe book is also packed with examples, and it includes a number of case studies that show how machine learning can be used to solve real-world business problems.Overall, I highly recommend this book to anyone who wants to learn how to use Qlik Sense to perform machine learning. It is a valuable resource for both beginners and experienced users.

Amazon Verified review

Mojeed Abisiga Jan 22, 2024

This book has a very fantastic overview of Machine Learning concepts and how to build powerful AI driven apps in Qlik

Amazon Verified review

Steven Fernandes Mar 02, 2024

This book provides a focused guide on building practical machine learning solutions using the Qlik platform. It equips readers with the skills to generate and verify machine learning models, emphasizing techniques for data preparation and analysis. The book excels in translating real-world business challenges into machine learning models, broadening the reader's capacity to tackle new use cases through data analytics. Additionally, it delves into advanced visualization techniques, offering insights on bringing models to life visually. A valuable resource for those looking to leverage the Qlik platform for machine learning applications.

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Om S Nov 27, 2023

This book provides a comprehensive guide to mastering machine learning within the Qlik platform, making it an indispensable resource for those navigating the data analytics landscape. Starting with fundamental concepts, it seamlessly guides readers through framing and validating machine learning challenges. The hands-on approach, coupled with real-world examples, enhances the understanding of data preprocessing and analysis techniques. The advanced chapters delve into sophisticated data visualization methods, ensuring a clear presentation of findings. With a focus on practical solutions and Qlik's extensive machine learning capabilities, readers gain the skills to transform business problems into actionable insights. Whether you're new to machine learning or expanding your skillset, this book is a valuable companion, offering a pathway to elevate your data analytics journey.

Amazon Verified review

Amazon Customer Dec 02, 2023

The book starts by laying a solid foundation, providing an overview of both machine learning concepts and Qlik Sense's capabilities such as doing stat with qlik sense. It caters to readers with varying levels of technical expertise, presenting the material in a clear and approachable manner. The authors strike a good balance between theory and practical implementation, ensuring readers gain a deep understanding of the underlying principles while also grasping the hands-on aspects of using machine learning with Qlik Sense.It covers a wide range of machine learning techniques, including regression, classification, clustering, and time series analysis. Each topic is explained in detail, with relevant algorithms and methodologies discussed. The authors also address important considerations such as feature engineering, model evaluation, and interpretability, enabling readers to develop a holistic understanding of the machine learning process.Moreover, The book explores advanced topics such as ensemble learning and deep learning expanding the reader's repertoire of machine learning techniques. These chapters provide a glimpse into cutting-edge methodologies and their application within Qlik Sense, making the book relevant for those seeking to push the boundaries of their data analysis

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

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