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Demand Forecasting Best Practices is a unique step-by-step guide, ideal for demand planners, S&OP managers, supply chain leaders and data scientists, demonstrating... Læs mere
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This book develops survey data analysis tools in Python, to create and analyze cross-tab tables and data visuals, weight data, perform hypothesis tests, and handle special survey questions such as Check-all-that-Apply.
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This book covers the relationship of recent technologies (such as Blockchain, IoT, and 5G) with the cloud computing as well as fog computing, and mobile edge computing.
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Successfully navigating the data-driven economy presupposes a certain understanding of the technologies and methods to gain insights from Big Data. This book aims to help data science practitioners to successfully manage the transition to Big Data.
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The modern world is awash with data. The R Project is a statistical environment and programming language that can help to make sense of it all. This clear and methodical book will help you learn how to use R from the ground up, giving you a start in the world of data science.
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Business Analytics, is driven by an increasing demand from the real world. This book reviews advances in data analytics and business intelligence that assists industries in problem-solving exercises, with a view to driving competitive advantage.
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This accessible guide to data modeling introduces basic probabilistic concepts, gradually building toward state-of-the art data modeling... Læs mere
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The text discusses various modalities of data and provides aggregated solutions using cloud. It includes the fundamentals of neural... Læs mere
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This book discusses a new process mining method along with a detailed comparison between different techniques that provide a complete vision of the process of data acquisition, data analysis, and data prediction.
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This book is designed to equip students to navigate through MS Excel and basic data computation methods which are essential tools in research or professional settings and in classrooms.