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Analytics and Data Science

This book explores emerging research and pedagogy in analytics and data science that have become core to many businesses as they work to;

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Recent Developments in Data Science and Business Analytics

and Business Analytics (ICDSBA- 2017), which was held during September 23-25 2017 in ChangSha, China. As we all know, the field of data;

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The Complete Beginner's Guide of Data Mining, Data Analytics, and Data Science Step-by-step Beginner's Guide to Learn and Master Data Mining, Data Analytics, and Data Science

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Data Science and Analytics for SMEs

help you hone your business analytics skills, this book applies data science techniques to help solve problems and improve upon many aspects;

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Data Science and Analytics for SMEs

help you hone your business analytics skills, this book applies data science techniques to help solve problems and improve upon many aspects;

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Data Science & Business Analytics

Data Science and Analytics explores the solutions to problems in society, environment and in industry. With the increase in the;

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Data Science and Analytics

carefully reviewed and selected from total 353 submissions. The papers are organized in topical sections on data centric programming; next;

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Data Science and Analytics

were carefully reviewed and selected from total 353 submissions. The papers are organized in topical sections on data centric programming; next;

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Data Science

, Machine Learning, and Big Data - That You Don't Data Science for Business: Predictive Modeling, Data Mining, Data Analytics, Data Warehousing;

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Public Policy Analytics

data and analytics using reproducible methods in R. Each of the eight chapters provides a detailed case study, showing readers: how to develop;

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Public Policy Analytics

data and analytics using reproducible methods in R. Each of the eight chapters provides a detailed case study, showing readers: how to develop;

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Data Science and Analytics

submissions. The papers are organized in topical sections on big data analysis, data centric programming, next generation computing, social and web;

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Soft Computing in Data Science

organized in topical sections on information and customer analytics; visual data science; machine and deep learning; big data analytics;

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Data Science and Data Analytics

Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and;

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Big Data Analytics

submissions; the book also contains 4 invited and 3 tutorial papers. The contributions were organized in topical sections named as follows: data;

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Teaching Data Analytics

programs and take steps to close the gap. Teaching Data Analytics: Pedagogy and Program Design is a reference for faculty and administrators;

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Teaching Data Analytics

programs and take steps to close the gap. Teaching Data Analytics: Pedagogy and Program Design is a reference for faculty and administrators;

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Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021)

This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2021) is intended to be used as a reference book for;

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Big Data and Visual Analytics

This book provides users with cutting edge methods and technologies in the area of big data and visual analytics, as well as an insight to;

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Data Analytics for Organisational Development - Unleashing the Potential of Your Data

businesses, making it an increasingly necessary skill for every manager and for all functions across an organisation. Data Analytics for;

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Analytics, Data Science, & Artificial Intelligence

For courses in decision support systems, computerised decision-making tools, and management support systems. Market-leading guide to;

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Data Science & Big Data Analytics

Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and;

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Data Science - Analytics and Applications

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Multimodal Analytics for Next-Generation Big Data Technologies and Applications

This edited book will serve as a source of reference for technologies and applications for multimodality data analytics in big data;

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Big Data Analytics for Sustainable Computing

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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Fundamentals of Data Analytics

This book introduces the basic methodologies for successful data analytics. Matrix optimization and approximation are explained in detail;

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Fundamentals of Data Analytics

This book introduces the basic methodologies for successful data analytics. Matrix optimization and approximation are explained in detail;

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