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This book presents and develops the deep data analytics for providing the information needed for successful new product development;
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This book presents and develops the deep data analytics for providing the information needed for successful new product development;
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for Product Development is an accessible guide designed for practitioners in the industrial field. It offers an introduction to data analytics;
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of domains including data science, data analytics and biomedical engineering. Deep Learning for Data Analytics: Foundations, Biomedical Applications;
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in health sciences and biomedical data. The book is useful for those working with big data analytics in biomedical research, medical industries, and;
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industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear;
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, customer satisfaction assessment, market and advertising research, and new product development and research. This volume will be useful to business;
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radically changing how businesses use data for competitive advantage. Taken together, they are disrupting the business analytics value chain;
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choice analysis for decision-making Marketing and customer analytics Developing new products Technopreneurship Disruptive versus incremental;
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Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics presents the changing world of data utilization;
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models fits into the broader business context. The two case studies describe specific data analytics projects through each phase of development;
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many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for;
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Intelligent Data-Analytics for Condition Monitoring: Smart Grid Applications looks at intelligent and meaningful uses of data required;
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thoroughly addresses segmentation, target marketing, brand and product positioning, new product development, choice modeling, recommender systems;
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develop new architecture and applications of deep learning algorithms in big data and the IoT. Highlighting a wide range of topics such as;
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Organisational Development: Unleashing the Potential of Your Data introduces a methodical process for gathering, screening, transforming, and analysing;
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rushed to embrace data-driven decision making. Companies everywhere are turning out products boasting that artificial intelligence is included;
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rushed to embrace data-driven decision making. Companies everywhere are turning out products boasting that artificial intelligence is included;
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resource for every business and technical professional who wants to make better data-driven decisions: operations, supply chain, and product;
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Construct a robust end-to-end solution for analyzing and visualizing streaming data Real-time analytics is the hottest topic in data;
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This book presents the latest advances in computational intelligence and data analytics for sustainable future smart cities. It focuses on;
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Whether you're a marketer with development skills or a full-on web developer/analyst, Practical Google Analytics and Google Tag Manager for;
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This book provides an insight into ways of inculcating the need for applying mobile edge data analytics in bioinformatics and medicine. The;
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reference for Data Scientists, systems architects, developers, new researchers and graduate level students in Computer and Data science. The book;
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Big data consists of data sets that are too large and complex for traditional data processing and data management applications. Therefore;
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"Sales Development & Category Management Practices For Enhancing Business Performance"Sales Analytics Mission: "To provide insightful;
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space for new program development. Schools wishing to pursue business analytics programs intentionally assess the maturity level of their;
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