Machine Learning Techniques for Improved Business Analytics (Advances in Business Information Systems and Analytics) - Hardcover
Synopsis
"This book provides the information on the machine learning techniques that can be in business problems in efficient way. It encourages the data Scientists to take a proactive attitude toward applying machine learning techniques in business. It increasesevolutionary computation awareness in Machine Learning by providing a clear direction for applying machine learning techniques in Business Industry"--
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About the Author
Dileep Kumar G was born in 1982, in India. He has got B.Tech in Computer Science & Engineering and M.Tech in Software Engineering degrees from Jawaharlal Nehru Technology University, Hyderabad, India, in 2000 and in 2009. He is pursuing a PhD degree in Computer Science from Jawaharlal Nehru Technology University, Hyderabad, India. Currently he is an Assistant Professor in the Department of Computing, Adama Science and Technology University, Adama, Ethiopia. He has authored more than 20 publications in international journals, books chapters, and refereed international conference proceedings. He has also authored the book Data structures Through C++(ISBN: 978-81-8487-488-4, Narosa Publications,2015). His research interests include Network Security, Data Mining, Mobile Adhoc Networks, Grid Computing and Big Data. He is a Member of ACM and Life Member of ISTE and Senior Member of IEEE.
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Machine Learning Techniques for Improved Business Analytics
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Hardback. Condition: New. Analytical tools and algorithms are essential in business data and information systems. Efficient economic and financial forecasting in machine learning techniques increases gains while reducing risks. Providing research on predictive models with high accuracy, stability, and ease of interpretation is important in improving data preparation, analysis, and implementation processes in business organizations.Machine Learning Techniques for Improved Business Analytics is a collection of innovative research on the methods and applications of artificial intelligence in strategic business decisions and management. Featuring coverage on a broad range of topics such as data mining, portfolio optimization, and social network analysis, this book is ideally designed for business managers and practitioners, upper-level business students, and researchers seeking current research on large-scale information control and evaluation technologies that exceed the functionality of conventional data processing techniques. Seller Inventory # LU-9781522535348
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a collection of innovative research on the applications of artificial intelligence in strategic business decisions and management. Featuring coverage on a broad range of topics such as data mining, portfolio optimization, and social network analysi. Seller Inventory # 448010565
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Buch. Condition: Neu. Machine Learning Techniques for Improved Business Analytics | Dileep Kumar G. | Buch | Gebunden | Englisch | 2018 | Business Science Reference | EAN 9781522535348 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 113965026
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Hardback. Condition: New. Analytical tools and algorithms are essential in business data and information systems. Efficient economic and financial forecasting in machine learning techniques increases gains while reducing risks. Providing research on predictive models with high accuracy, stability, and ease of interpretation is important in improving data preparation, analysis, and implementation processes in business organizations.Machine Learning Techniques for Improved Business Analytics is a collection of innovative research on the methods and applications of artificial intelligence in strategic business decisions and management. Featuring coverage on a broad range of topics such as data mining, portfolio optimization, and social network analysis, this book is ideally designed for business managers and practitioners, upper-level business students, and researchers seeking current research on large-scale information control and evaluation technologies that exceed the functionality of conventional data processing techniques. Seller Inventory # LU-9781522535348
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