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Statistical Inference and Machine Learning for Big Data (Springer Series in the Data Sciences) - Hardcover
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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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 (Hardcover)
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Springer International Publishing AG, Cham, 2022
ISBN 10: 3031067835
ISBN 13: 9783031067839
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Hardcover
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Hardcover. Condition: new. Hardcover. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9783031067839
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Statistical Inference and Machine Learning for Big Data
Published by
Springer International Publishing Dez 2022, 2022
ISBN 10: 3031067835
ISBN 13: 9783031067839
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Hardcover
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Buch. Condition: 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. Seller Inventory # 9783031067839
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Statistical Inference and Machine Learning for Big Data
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Springer, Berlin|Springer International Publishing|Springer, 2022
ISBN 10: 3031067835
ISBN 13: 9783031067839
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STATISTICAL INFERENCE AND MACHINE LEARNING FOR BIG DATA (HB 2022)
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Condition: Brand New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-11 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability. Seller Inventory # CBS 9783031067839
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Statistical Inference and Machine Learning for Big Data
Published by
Springer International Publishing, Springer Nature Switzerland Dez 2022, 2022
ISBN 10: 3031067835
ISBN 13: 9783031067839
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Hardcover
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Buch. Condition: Neu. 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. Seller Inventory # 9783031067839
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Statistical Inference and Machine Learning for Big Data
Published by
Springer International Publishing, 2022
ISBN 10: 3031067835
ISBN 13: 9783031067839
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Hardcover
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Buch. Condition: 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. Seller Inventory # 9783031067839
Quantity: 1 available
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Statistical Inference and Machine Learning for Big Data
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Hardcover. Condition: Brand New. 455 pages. 9.25x6.10x1.22 inches. In Stock. Seller Inventory # x-3031067835
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