This book brings insight into Data Science and offers applications and implementation strategies. It includes recent developments and future trends and covers the concept of Data Science along with its origin. It focuses on the mechanisms of extracting data along with classifications, architectural concepts, and predictive analysis.
"Sinopsis" puede pertenecer a otra edición de este libro.
Zdzislaw Polkowski is presently associated with Department of Business Intelligence in Management, Wroclaw University of Economics and Business, Poland.
Sambit Kumar Mishra is presently associated with the Gandhi Institute for Education and Technology, Baniatangi, Bhubaneswar, Odisha, India.
Julian Vasilev is presently associated as Professor in University of Economics, Varna, Bulgaria.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Paperback. Condición: new. Paperback. This book brings insight into data science and offers applications and implementation strategies. It includes current developments and future directions and covers the concept of data science along with its origins. It focuses on the mechanisms of extracting data along with classifications, architectural concepts, and business intelligence with predictive analysis.Data Science in Engineering and Management: Applications, New Developments, and Future Trends introduces the concept of data science, its use, and its origins, as well as presenting recent trends, highlighting future developments; discussing problems and offering solutions. It provides an overview of applications on data linked to engineering and management perspectives and also covers how data scientists, analysts, and program managers who are interested in productivity and improving their business can do so by incorporating a data science workflow effectively.This book is useful to researchers involved in data science and can be a reference for future research. It is also suitable as supporting material for undergraduate and graduate-level courses in related engineering disciplines. This book brings insight into Data Science and offers applications and implementation strategies. It includes recent developments and future trends and covers the concept of Data Science along with its origin. It focuses on the mechanisms of extracting data along with classifications, architectural concepts, and predictive analysis. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781032106267
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Paperback. Condición: new. Paperback. This book brings insight into data science and offers applications and implementation strategies. It includes current developments and future directions and covers the concept of data science along with its origins. It focuses on the mechanisms of extracting data along with classifications, architectural concepts, and business intelligence with predictive analysis.Data Science in Engineering and Management: Applications, New Developments, and Future Trends introduces the concept of data science, its use, and its origins, as well as presenting recent trends, highlighting future developments; discussing problems and offering solutions. It provides an overview of applications on data linked to engineering and management perspectives and also covers how data scientists, analysts, and program managers who are interested in productivity and improving their business can do so by incorporating a data science workflow effectively.This book is useful to researchers involved in data science and can be a reference for future research. It is also suitable as supporting material for undergraduate and graduate-level courses in related engineering disciplines. This book brings insight into Data Science and offers applications and implementation strategies. It includes recent developments and future trends and covers the concept of Data Science along with its origin. It focuses on the mechanisms of extracting data along with classifications, architectural concepts, and predictive analysis. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Nº de ref. del artículo: 9781032106267
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