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Record Nr. |
UNINA9910300756803321 |
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Autore |
Gupta Deepti |
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Titolo |
Applied Analytics through Case Studies Using SAS and R : Implementing Predictive Models and Machine Learning Techniques / / by Deepti Gupta |
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Pubbl/distr/stampa |
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Berkeley, CA : , : Apress : , : Imprint : Apress, , 2018 |
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ISBN |
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Edizione |
[1st ed. 2018.] |
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Descrizione fisica |
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1 online resource (XX, 404 p. 99 illus.) |
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Disciplina |
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Soggetti |
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Big data |
Open source software |
Computer programming |
Mathematical statistics |
Business mathematics |
R (Computer program language) |
Big Data |
Open Source |
Probability and Statistics in Computer Science |
Business Mathematics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Chapter 1: Role of Analytics in Various Industries -- Chapter 2: Banking Case Study with Analytical Solutions -- Chapter 3: Retail Case Study with Analytical Solutions -- Chapter 4: Telecommunication Case Study with Analytical Solutions -- Chapter 5: Healthcare Case Study with Analytical Solutions -- Chapter 6: Airline Case Study with Analytical Solutions -- Chapter 7: FMCG Case Study with Analytical Solutions. . |
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Sommario/riassunto |
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Examine business problems and use a practical analytical approach to solve them by implementing predictive models and machine learning techniques using SAS and the R analytical language. This book is ideal for those who are well-versed in writing code and have a basic understanding of statistics, but have limited experience in |
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