Machine Learning With Qlik Sense


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Machine Learning with Qlik Sense


Machine Learning with Qlik Sense

Author: Hannu Ranta

language: en

Publisher: Packt Publishing Ltd

Release Date: 2023-10-27


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Master the art of machine learning by using the one-of-a-kind Qlik platform, and take your data analytics skills to the next level Key Features 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 Book DescriptionThe 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.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 Who this book is forIf 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.

Hands-On Business Intelligence with Qlik Sense


Hands-On Business Intelligence with Qlik Sense

Author: Pablo Labbe

language: en

Publisher: Packt Publishing Ltd

Release Date: 2019-02-28


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Create dynamic dashboards to bring interactive data visualization to your enterprise using Qlik Sense Key FeaturesImplement various Qlik Sense features to create interactive dashboardsAnalyze data easily and make business decisions faster using Qlik SensePerform self-service data analytics and geospatial analytics using an example-based approachBook Description Qlik Sense allows you to explore simple-to-complex data to reveal hidden insights and data relationships to make business-driven decisions. Hands-On Business Intelligence with Qlik Sense begins by helping you get to grips with underlying Qlik concepts and gives you an overview of all Qlik Sense’s features. You will learn advanced modeling techniques and learn how to analyze the data loaded using a variety of visualization objects. You’ll also be trained on how to share apps through Qlik Sense Enterprise and Qlik Sense Cloud and how to perform aggregation with AGGR. As you progress through the chapters, you’ll explore the stories feature to create data-driven presentations and update an existing story. This book will guide you through the GeoAnalytics feature with the geo-mapping object and GeoAnalytics connector. Furthermore, you’ll learn about the self-service analytics features and perform data forecasting using advanced analytics. Lastly, you’ll deploy Qlik Sense apps for mobile and tablet. By the end of this book, you will be well-equipped to run successful business intelligence applications using Qlik Sense's functionality, data modeling techniques, and visualization best practices. What you will learnDiscover how to load, reshape, and model data for analysisApply data visualization practices to create stunning dashboardsMake use of Python and R for advanced analyticsPerform geo-analysis to create visualizations using native objectsLearn how to work with AGGR and data storiesWho this book is for If you’re a data analyst, BI developer, or interested in business intelligence and want to gain practical experience of working on Qlik Sense, this book is for you. You’ll also find it useful if you want to explore Qlik Sense’s next-generation applications for self-service business intelligence. No prior experience of working with Qlik Sense is required.

Advanced Analytics and Machine Learning for Business Growth: A Practical Guide


Advanced Analytics and Machine Learning for Business Growth: A Practical Guide

Author: Vybhav Reddy Kammireddy Changalreddy Prof Ashok Kumar

language: en

Publisher: DeepMisti Publication

Release Date: 2025-01-15


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In today’s competitive business landscape, growth is no longer just about hard work and intuition—it’s about making smarter decisions driven by insights from data. The advent of advanced analytics and machine learning (ML) has revolutionized how businesses understand their markets, optimize operations, and delight customers. Yet, the journey from raw data to actionable insights can be daunting, especially for organizations new to these transformative technologies. Advanced Analytics and Machine Learning for Business Growth: A Practical Guide is designed to demystify the complex world of analytics and machine learning, providing business leaders, analysts, and data enthusiasts with a clear and actionable roadmap to drive tangible results. This book bridges the gap between the technical depth of data science and the practical demands of business strategy, empowering readers to unlock the full potential of their data. Inside, you’ll discover: • The foundational principles of advanced analytics and machine learning in business contexts. • Practical applications for solving real-world challenges such as customer segmentation, churn prediction, and demand forecasting. • Step-by-step guides for implementing machine learning models, from data preparation to deployment. • Tools, platforms, and frameworks that accelerate analytics workflows. • Insights into navigating challenges like data quality, organizational buy-in, and ethical AI practices. This book is intentionally practical. Instead of overwhelming you with complex theories and algorithms, it focuses on actionable strategies that you can implement immediately, whether you’re working in retail, finance, healthcare, manufacturing, or any other industry. As you turn the pages, you’ll discover how advanced analytics and machine learning can transform your business—from identifying hidden opportunities to solving critical challenges. More importantly, you’ll gain the confidence to lead data-driven initiatives that foster growth, resilience, and competitive advantage. The future belongs to businesses that can adapt and innovate. With this book as your guide, you’re equipped to harness the power of advanced analytics and machine learning to fuel your organization’s growth and success. Welcome to the journey of transforming your business with data. Let’s build the future, one insight at a time. Authors