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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning

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Topological Data Analysis with Applications (Hardcover) Loot Price: R1,268
Discovery Miles 12 680
You Save: R77 (6%)
Topological Data Analysis with Applications (Hardcover): Gunnar Carlsson, Mikael Vejdemo-Johansson

Topological Data Analysis with Applications (Hardcover)

Gunnar Carlsson, Mikael Vejdemo-Johansson

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Was R1,345 Loot Price R1,268 Discovery Miles 12 680 | Repayment Terms: R119 pm x 12* You Save R77 (6%)

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The continued and dramatic rise in the size of data sets has meant that new methods are required to model and analyze them. This timely account introduces topological data analysis (TDA), a method for modeling data by geometric objects, namely graphs and their higher-dimensional versions: simplicial complexes. The authors outline the necessary background material on topology and data philosophy for newcomers, while more complex concepts are highlighted for advanced learners. The book covers all the main TDA techniques, including persistent homology, cohomology, and Mapper. The final section focuses on the diverse applications of TDA, examining a number of case studies drawn from monitoring the progression of infectious diseases to the study of motion capture data. Mathematicians moving into data science, as well as data scientists or computer scientists seeking to understand this new area, will appreciate this self-contained resource which explains the underlying technology and how it can be used.

General

Imprint: Cambridge UniversityPress
Country of origin: United Kingdom
Release date: November 2021
Authors: Gunnar Carlsson • Mikael Vejdemo-Johansson
Dimensions: 251 x 175 x 16mm (L x W x T)
Format: Hardcover
Pages: 220
ISBN-13: 978-1-108-83865-8
Categories: Books > Computing & IT > General theory of computing > Mathematical theory of computation
Books > Science & Mathematics > Mathematics > Topology > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN: 1-108-83865-0
Barcode: 9781108838658

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