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Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science - Rilegato
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"This edited book will start with an introduction to feature engineering and then move onto recent concepts, methods and applications with the use of various data types that includes : text, image, streaming data, social network data, financial data, biomedical data, bioinformatics etc. to help readers gain insight into how features can be extracted and transformed from raw data"--
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Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science (Advances in Data Mining and Database Management)
Editore:
Engineering Science Reference, 2021
ISBN 10: 1799866599
ISBN 13: 9781799866596
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hardcover. Condizione: New. New. book. Codice articolo D7S9-1-M-1799866599-6
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Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science
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Engineering Science Reference, 2021
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ISBN 13: 9781799866596
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Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science
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HRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo L1-9781799866596
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Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science
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HRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo L1-9781799866596
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Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science
Editore:
Engineering Science Reference, 2021
ISBN 10: 1799866599
ISBN 13: 9781799866596
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Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science
Editore:
Engineering Science Reference, 2020
ISBN 10: 1799866599
ISBN 13: 9781799866596
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Da: moluna, Greven, Germania
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnIn today s digital world, the huge amount of data being generated is unstructured, messy, and chaotic in nature. Dealing with such data, and attempting to unfold the meaningful information, can be a challenging task. Feature engin. Codice articolo 448342857
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Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science
Editore:
Engineering Science Reference, 2021
ISBN 10: 1799866599
ISBN 13: 9781799866596
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Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science
Editore:
Engineering Science Reference, 2021
ISBN 10: 1799866599
ISBN 13: 9781799866596
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Da: GreatBookPrices, Columbia, MD, U.S.A.
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Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science
Editore:
Engineering Science Reference, 2021
ISBN 10: 1799866599
ISBN 13: 9781799866596
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In today's digital world, the huge amount of data being generated is unstructured, messy, and chaotic in nature. Dealing with such data, and attempting to unfold the meaningful information, can be a challenging task. Feature engineering is a process to transform such data into a suitable form that better assists with interpretation and visualization. Through this method, the transformed data is more transparent to the machine learning models, which in turn causes better prediction and analysis of results. Data science is crucial for the data scientist to assess the trade-offs of their decisions regarding the effectiveness of the machine learning model implemented. Investigating the demand in this area today and in the future is a necessity. The Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science provides an in-depth analysis on both the theoretical and the latest empirical research findings on how features can be extracted and transformed from raw data. The chapters will introduce feature engineering and the recent concepts, methods, and applications with the use of various data types, as well as examine the latest machine learning applications on the data. While highlighting topics such as detection, tracking, selection techniques, and prediction models using data science, this book is ideally intended for research scholars, big data scientists, project developers, data analysts, and computer scientists along with practitioners, researchers, academicians, and students interested in feature engineering and its impact on data. Codice articolo 9781799866596
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