Statistical Inference and Machine Learning for Big Data - Couverture souple
Livre 11 sur 11: Springer Series in the Data Sciences
Synopsis
This book presents a variety of advanced statistical methods at a level suitable for advanced undergraduate and graduate students as well as for others interested in familiarizing themselves with these important subjects. It proceeds to illustrate these methods in the context of real-life applications in a variety of areas such as genetics, medicine, and environmental problems.
The book begins in Part I by outlining various data types and by indicating how these are normally represented graphically and subsequently analyzed. In Part II, the basic tools in probability and statistics are introduced with special reference to symbolic data analysis. The most useful and relevant results pertinent to this book are retained. In Part III, the focus is on the tools of machine learning whereas in Part IV the computational aspects of BIG DATA are presented.
This book would serve as a handy desk reference for statistical methods at the undergraduate and graduate level as well as be useful in courses which aim to provide an overview of modern statistics and its applications.
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Statistical Inference and Machine Learning for Big Data (Springer Series in the Data Sciences)
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Statistical Inference and Machine Learning for Big Data
Edité par
Springer International Publishing Dez 2023, 2023
ISBN 10 : 303106786X
ISBN 13 : 9783031067860
Neuf
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a variety ofadvanced statistical methods ata level suitable foradvanced undergraduate and graduate students as well as for others interested in familiarizing themselves withthese important subjects. It proceeds toillustrate these methods in thecontext ofreal-life applications in a variety of areas such as genetics, medicine, and environmental problems.Thebook begins in Part I byoutlining various data types and byindicating how these are normally represented graphically and subsequently analyzed. In Part II, thebasic tools in probability and statistics are introduced with special reference to symbolic data analysis. Themost useful and relevant results pertinent tothis book are retained. In Part III, the focus is on the tools of machine learning whereas in Part IV the computational aspects of BIG DATA are presented.This book would serve as a handy desk reference forstatistical methods attheundergraduate and graduate level as well as be useful in courses which aim toprovide an overview ofmodern statistics and its applications. 456 pp. Englisch. N° de réf. du vendeur 9783031067860
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Statistical Inference and Machine Learning for Big Data
Edité par
Springer International Publishing, 2023
ISBN 10 : 303106786X
ISBN 13 : 9783031067860
Neuf
Couverture souple
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces a comprehensive collection of topics in modern statistical areasPresents applications to topics in genetics and environmental scienceSuitable for upper undergraduate and graduate students as well as researchersThis boo. N° de réf. du vendeur 1228908936
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Statistical Inference and Machine Learning for Big Data (Springer Series in the Data Sciences)
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Statistical Inference and Machine Learning for Big Data (Springer Series in the Data Sciences)
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Statistical Inference and Machine Learning for Big Data
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Taschenbuch. Etat : Neu. Statistical Inference and Machine Learning for Big Data | Mayer Alvo | Taschenbuch | xxiv | Englisch | 2023 | Springer | EAN 9783031067860 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 128028993
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Statistical Inference and Machine Learning for Big Data (Springer Series in the Data Sciences)
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Statistical Inference and Machine Learning for Big Data
ISBN 10 : 303106786X
ISBN 13 : 9783031067860
Neuf
Taschenbuch
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents a variety of advanced statistical methods at a level suitable for advanced undergraduate and graduate students as well as for others interested in familiarizing themselves with these important subjects. It proceeds to illustrate these methods in the context of real-life applications in a variety of areas such as genetics, medicine, and environmental problems.The book begins in Part I by outlining various data types and by indicating how these are normally represented graphically and subsequently analyzed. In Part II, the basic tools in probability and statistics are introduced with special reference to symbolic data analysis. The most useful and relevant results pertinent to this book are retained. In Part III, the focus is on the tools of machine learning whereas in Part IV the computational aspects of BIG DATA are presented.This book would serve as a handy desk reference for statistical methods at the undergraduate and graduate level as well as be useful in courses which aim to provide an overview of modern statistics and its applications.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 456 pp. Englisch. N° de réf. du vendeur 9783031067860
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Statistical Inference and Machine Learning for Big Data
ISBN 10 : 303106786X
ISBN 13 : 9783031067860
Neuf
Taschenbuch
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a variety ofadvanced statistical methods ata level suitable foradvanced undergraduate and graduate students as well as for others interested in familiarizing themselves withthese important subjects. It proceeds toillustrate these methods in thecontext ofreal-life applications in a variety of areas such as genetics, medicine, and environmental problems.Thebook begins in Part I byoutlining various data types and byindicating how these are normally represented graphically and subsequently analyzed. In Part II, thebasic tools in probability and statistics are introduced with special reference to symbolic data analysis. Themost useful and relevant results pertinent tothis book are retained. In Part III, the focus is on the tools of machine learning whereas in Part IV the computational aspects of BIG DATA are presented.This book would serve as a handy desk reference forstatistical methods attheundergraduate and graduate level as well as be useful in courses which aim toprovide an overview ofmodern statistics and its applications. N° de réf. du vendeur 9783031067860
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