Items related to Algebraic Foundations for Applied Topology and Data...
- PublisherSpringer
- Publication date2023
- ISBN 10 3031066669
- ISBN 13 9783031066665
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages236
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Algebraic Foundations for Applied Topology and Dat
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Algebraic Foundations for Applied Topology and Data Analysis,
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Algebraic Foundations for Applied Topology and Data Analysis,
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Algebraic Foundations for Applied Topology and Data Analysis
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ALGEBRAIC FOUNDATIONS FOR APPLIED TOPOLOGY AND DATA ANALYSIS (PB 2022)
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Algebraic Foundations for Applied Topology and Dat
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Algebraic Foundations for Applied Topology and Data Analysis (Mathematics of Data)
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Algebraic Foundations for Applied Topology and Data Analysis (Mathematics of Data)
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Algebraic Foundations for Applied Topology and Data Analysis
Published by
Berlin Springer International Publishing Springer, 2023
ISBN 10: 3031066669
ISBN 13: 9783031066665
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book gives an intuitive and hands-on introduction to Topological Data Analysis (TDA). Covering a wide range of topics at levels of sophistication varying from elementary (matrix algebra) to esoteric (Grothendieck spectral sequence), it offers a mirror of data science aimed at a general mathematical audience. The required algebraic background is developed in detail. The first third of the book reviews several core areas of mathematics, beginning with basic linear algebra and applications to data fitting and web search algorithms, followed by quick primers on algebra and topology. The middle third introduces algebraic topology, along with applications to sensor networks and voter ranking. The last third covers key contemporary tools in TDA: persistent and multiparameter persistent homology. Also included is a user's guide to derived functors and spectral sequences (useful but somewhat technical tools which have recently found applications in TDA), and an appendix illustrating a number of software packages used in the field. Based on a course given as part of a masters degree in statistics, the book is appropriate for graduate students. 224 pp. Englisch. Seller Inventory # 9783031066665
Quantity: 2 available
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Algebraic Foundations for Applied Topology and Data Analysis
Published by
Springer International Publishing, 2023
ISBN 10: 3031066669
ISBN 13: 9783031066665
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book gives an intuitive and hands-on introduction to Topological Data Analysis (TDA). Covering a wide range of topics at levels of sophistication varying from elementary (matrix algebra) to esoteric (Grothendieck spectral sequence), it offers a mirror of data science aimed at a general mathematical audience. The required algebraic background is developed in detail. The first third of the book reviews several core areas of mathematics, beginning with basic linear algebra and applications to data fitting and web search algorithms, followed by quick primers on algebra and topology. The middle third introduces algebraic topology, along with applications to sensor networks and voter ranking. The last third covers key contemporary tools in TDA: persistent and multiparameter persistent homology. Also included is a user's guide to derived functors and spectral sequences (useful but somewhat technical tools which have recently found applications in TDA), and an appendix illustrating a number of software packages used in the field. Based on a course given as part of a masters degree in statistics, the book is appropriate for graduate students. Seller Inventory # 9783031066665
Quantity: 1 available