Engineering Sciences Data Mechanisms
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Engineering Sciences Data Mechanisms
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Author : Engineering Sciences Data Unit
language : en
Publisher:
Release Date : 1968
Engineering Sciences Data Mechanisms written by Engineering Sciences Data Unit and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1968 with categories.
Engineering Sciences Data Mechanisms Sub Series
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Author : Engineering Sciences Data Unit
language : en
Publisher:
Release Date : 1966
Engineering Sciences Data Mechanisms Sub Series written by Engineering Sciences Data Unit and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1966 with Machine design categories.
Engineering Sciences Data Mechanisms
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Author : Institution of Mechanical Engineers (Great Britain)
language : en
Publisher:
Release Date : 1978
Engineering Sciences Data Mechanisms written by Institution of Mechanical Engineers (Great Britain) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1978 with categories.
Engineering Sciences Data Mechanisms
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Author : Institution of Mechanical Engineers (Great Britain)
language : en
Publisher:
Release Date : 1978
Engineering Sciences Data Mechanisms written by Institution of Mechanical Engineers (Great Britain) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1978 with categories.
Engineering Sciences Data
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Author :
language : en
Publisher:
Release Date : 1979
Engineering Sciences Data written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1979 with categories.
Engineering Sciences Data Mechanisms
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Author : Institution of Mechanical Engineers (Great Britain)
language : en
Publisher:
Release Date : 1978
Engineering Sciences Data Mechanisms written by Institution of Mechanical Engineers (Great Britain) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1978 with categories.
Engineering Sciences Data
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Author :
language : en
Publisher:
Release Date : 1979
Engineering Sciences Data written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1979 with categories.
Engineering Sciences Data
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Author :
language : en
Publisher:
Release Date : 1976
Engineering Sciences Data written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1976 with categories.
Mechanisms Sub Series
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Author : Engineering Sciences Data Unit
language : en
Publisher:
Release Date : 1968
Mechanisms Sub Series written by Engineering Sciences Data Unit and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1968 with Machinery categories.
Data Science In Engineering And Management
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Author : Zdzislaw Polkowski
language : en
Publisher: CRC Press
Release Date : 2021-12-31
Data Science In Engineering And Management written by Zdzislaw Polkowski and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-31 with Technology & Engineering categories.
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.