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The book is a systematic discussion on the many areas employing crowdsourcing as an essential part of social innovation. It fosters theoretical,... Læs mere
Sustainable Technology for Society 5.0 details the use of AI in complex data analysis and sustainable decision... Læs mere
Statistics Slam Dunk is an action-packed book that will help you build your skills in exploratory data analysis by digging into the... Læs mere
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
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.
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.
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.
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.
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.