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Añadir al carritoPaperback. Condición: Good. 1st ed. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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Añadir al carritoPaperback. Condición: new. Paperback. 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 problems is 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 to solving these business problems by sharpening your analytical skills. What You'll Learn Understand analytics and basic data concepts Use an analytical approach to solve Industrial business problems Build 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 53,37
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Añadir al carritoPaperback. Condición: Brand New. 404 pages. 9.75x6.75x1.00 inches. In Stock.
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Añadir al carritoCondición: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
Librería: preigu, Osnabrück, Alemania
EUR 54,25
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Añadir al carritoTaschenbuch. Condición: Neu. Applied Analytics through Case Studies Using SAS and R | Implementing Predictive Models and Machine Learning Techniques | Deepti Gupta | Taschenbuch | xx | Englisch | 2018 | Apress | EAN 9781484235249 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Publicado por Apress, Apress Aug 2018, 2018
ISBN 10: 148423524X ISBN 13: 9781484235249
Idioma: Inglés
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 64,19
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Añadir al carritoTaschenbuch. Condición: 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.
Librería: AussieBookSeller, Truganina, VIC, Australia
Original o primera edición
EUR 98,24
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Añadir al carritoPaperback. Condición: new. Paperback. 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 problems is 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 to solving these business problems by sharpening your analytical skills. What You'll Learn Understand analytics and basic data concepts Use an analytical approach to solve Industrial business problems Build 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 64,19
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Añadir al carritoTaschenbuch. Condición: 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.
Librería: moluna, Greven, Alemania
EUR 52,37
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Añadir al carritoKartoniert / Broschiert. Condición: 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.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 68,82
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Añadir al carritoTaschenbuch. Condición: 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.