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Machine Learning with Qlik Sense

Machine Learning with Qlik Sense

By : Hannu Ranta
4.5 (6)
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Machine Learning with Qlik Sense

Machine Learning with Qlik Sense

4.5 (6)
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)
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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

Informed decision-making

Informed decision-making refers to the process of using data to make decisions that are supported by evidence and grounded in a thorough understanding of the data. It involves the ability to identify relevant data, analyze it using appropriate tools and techniques, and draw conclusions that are based on evidence rather than assumptions or intuition. Informed decision-making is a critical skill for individuals who work with data, as it allows them to leverage data to drive better outcomes and make decisions that are backed by evidence.

To make informed decisions, you must have a clear understanding of the problem or question at hand, as well as the data that is relevant to it. You must be able to identify appropriate data sources, assess the quality of the data, and choose appropriate analytical techniques to analyze it. Informed decision-making also requires you to be able to interpret the results of your analysis and communicate findings effectively to...

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