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Data Science and Analytics for SMEs

of a business' operations. SMEs are looking for ways to use data science and analytics, and this need is becoming increasingly pressing with;

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Data Science and Analytics for SMEs

of a business' operations. SMEs are looking for ways to use data science and analytics, and this need is becoming increasingly pressing;

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Analytics and Data Science

technologies in various domains are still evolving. For instance, the explosive growth in big data and social media analytics requires examination;

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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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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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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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Public Policy Analytics

Public Policy Analytics: Code & Context for Data Science in Government teaches readers how to address complex public policy problems with;

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Public Policy Analytics

Public Policy Analytics: Code & Context for Data Science in Government teaches readers how to address complex public policy problems with;

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Data Science and Data Analytics

a comparative analysis/taxonomy. FEATURES Gives the concept of data science, tools, and algorithms that exist for many;

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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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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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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 & 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 & 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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Big Data and Visual Analytics

contribution to the area of big data and visual analytics. This book is a valuable resource for researchers and professionals working in the area;

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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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Big Data Analytics

. The fourth part of the book examines analytics for marketing decision-making and the roles of big data analytics for market intelligence and;

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Big Data Analytics

. The fourth part of the book examines analytics for marketing decision-making and the roles of big data analytics for market intelligence and;

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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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