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Zustand: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
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In den WarenkorbPaperback. Zustand: Brand New. 276 pages. 9.25x6.10x9.25 inches. In Stock.
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In den WarenkorbPaperback. Zustand: Brand New. 404 pages. 9.75x6.75x1.00 inches. In Stock.
Zustand: New. 2018. 1st ed. paperback. . . . . . Books ship from the US and Ireland.
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In den WarenkorbZustand: New.
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Applied Linear Regression for Business Analytics with R introduces regression analysis to business students using the R programming language with a focus on illustrating and solving real-time, topical problems. Specifically, this book presents modern and relevant case studies from the business world, along with clear and concise explanations of the theory, intuition, hands-on examples, and the coding required to employ regression modeling. Each chapter includes the mathematical formulation and details of regression analysis and provides in-depth practical analysis using the R programming language.
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: 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.
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: 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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In den WarenkorbZustand: Hervorragend. Zustand: Hervorragend | Seiten: 296 | Sprache: Englisch | Produktart: Bücher | Applied Linear Regression for Business Analytics with R introduces regression analysis to business students using the R programming language with a focus on illustrating and solving real-time, topical problems. Specifically, this book presents modern and relevant case studies from the business world, along with clear and concise explanations of the theory, intuition, hands-on examples, and the coding required to employ regression modeling. Each chapter includes the mathematical formulation and details of regression analysis and provides in-depth practical analysis using the R programming language.
Taschenbuch. Zustand: Neu. Applied Linear Regression for Business Analytics with R | A Practical Guide to Data Science with Case Studies | Daniel P. McGibney | Taschenbuch | xvii | Englisch | 2024 | Springer | EAN 9783031214820 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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In den WarenkorbHardcover. Zustand: Brand New. 276 pages. 9.25x6.25x0.75 inches. In Stock.
Sprache: Englisch
Verlag: Springer International Publishing, Springer International Publishing, 2023
ISBN 10: 303121479X ISBN 13: 9783031214790
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Applied Linear Regression for Business Analytics with R introduces regression analysis to business students using the R programming language with a focus on illustrating and solving real-time, topical problems. Specifically, this book presents modern and relevant case studies from the business world, along with clear and concise explanations of the theory, intuition, hands-on examples, and the coding required to employ regression modeling. Each chapter includes the mathematical formulation and details of regression analysis and provides in-depth practical analysis using the R programming language.