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Paperback or Softback. Condition: New. Applied Analytics Through Case Studies Using SAS and R: Implementing Predictive Models and Machine Learning Techniques 1.62. Book.
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Published by Apress, Apress Aug 2018, 2018
ISBN 10: 148423524X ISBN 13: 9781484235249
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Add to basketTaschenbuch. Condition: Neu. Neuware -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.APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 424 pp. Englisch.
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 870.
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 implementing predictive models and machine learning techniques for analyzing real world data. The most challenging part of solving industrial business problemsis the practical and hands-on knowledge of building and deploying advanced predictive models and machine learning algorithms.Applied Analytics through Case Studies Using SAS and R is your answer tosolving these business problems by sharpening your analytical skills.What You'll LearnUnderstand analytics and basic data conceptsUse an analytical approach to solve Industrial business problemsBuild predictive model with machine learning techniquesCreate and apply analytical strategiesWho This Book Is ForData scientists, developers, statisticians, engineers, and research students with a great theoretical understanding of data and statistics who would like to enhance their skills by getting practical exposure in data modeling. 424 pp. Englisch.
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Add to basketKartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Practical and hands-on approach in building the predictive model and machine learning technique using SAS and RCovers real world business case studies from 6 industrial domainsApplication of a.
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 implementing predictive models and machine learning techniques for analyzing real world data. The most challenging part of solving industrial business problemsis the practical and hands-on knowledge of building and deploying advanced predictive models and machine learning algorithms.Applied Analytics through Case Studies Using SAS and R is your answer tosolving these business problems by sharpening your analytical skills.What You'll LearnUnderstand analytics and basic data conceptsUse an analytical approach to solve Industrial business problemsBuild predictive model with machine learning techniquesCreate and apply analytical strategiesWho This Book Is ForData scientists, developers, statisticians, engineers, and research students with a great theoretical understanding of data and statistics who would like to enhance their skills by getting practical exposure in data modeling.