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Statistical Inference and Machine Learning for Big Data

Alvo Mayer
Heftet / 2023 / Engelsk

Product details

ISBN
9783031067860
Published
2023-12-01
Publisher
Springer International Publishing AG
Height
279 mm
Width
210 mm
Age
Research, UP, UU, 05
Language
Product language
Engelsk
Format
Product format
Heftet
Number of pages
24

Author
Alvo Mayer

Statistical Inference and Machine Learning for Big Data

Alvo Mayer
Heftet / 2023 / Engelsk
Alvo Mayer
Heftet / 2023 / Engelsk
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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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Introduces a comprehensive collection of topics in modern statistical areas Presents applications to topics in genetics and environmental science Suitable for upper undergraduate and graduate students as well as researchers
Read more
GPSR Compliance The European Union's (EU) General Product Safety Regulation (GPSR) is a set of rules that requires consumer products to be safe and our obligations to ensure this. If you have any concerns about our products you can contact us on ProductSafety@springernature.com. In case Publisher is established outside the EU, the EU authorized representative is: Springer Nature Customer Service Center GmbH Europaplatz 3 69115 Heidelberg, Germany ProductSafety@springernature.com
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Related products

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.


Read more
Introduces a comprehensive collection of topics in modern statistical areas Presents applications to topics in genetics and environmental science Suitable for upper undergraduate and graduate students as well as researchers
Read more
GPSR Compliance The European Union's (EU) General Product Safety Regulation (GPSR) is a set of rules that requires consumer products to be safe and our obligations to ensure this. If you have any concerns about our products you can contact us on ProductSafety@springernature.com. In case Publisher is established outside the EU, the EU authorized representative is: Springer Nature Customer Service Center GmbH Europaplatz 3 69115 Heidelberg, Germany ProductSafety@springernature.com
Read more

Product details

ISBN
9783031067860
Published
2023-12-01
Publisher
Springer International Publishing AG
Height
279 mm
Width
210 mm
Age
Research, UP, UU, 05
Language
Product language
Engelsk
Format
Product format
Heftet
Number of pages
24

Author
Alvo Mayer

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