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The Shape of Data: Geometry-Based Machine Learning and Data Analysis in R - Softcover

 
9781718503083: The Shape of Data: Geometry-Based Machine Learning and Data Analysis in R
  • PublisherNo Starch Press
  • Publication date2023
  • ISBN 10 1718503083
  • ISBN 13 9781718503083
  • BindingPaperback
  • LanguageEnglish
  • Number of pages264

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Farrelly, Colleen M., Ulrich Gaba, Ya?
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Farrelly, Colleen M.; Gaba, Yaé Ulrich
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FARRELLY, COLLEEN M.
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Farrelly, Colleen M.; Gaba, Yaé Ulrich
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Paperback. Condition: new. Paperback. This advanced machine learning book highlights many algorithms from a geometric perspective and introduces tools in network science, metric geometry, and topological data analysis through practical application.This advanced machine learning book highlights many algorithms from a geometric perspective and introduces tools in network science, metric geometry, and topological data analysis through practical application.Whether you're a mathematician, seasoned data scientist, or marketing professional, you'll find The Shape of Data to be the perfect introduction to the critical interplay between the geometry of data structures and machine learning.This book's extensive collection of case studies (drawn from medicine, education, sociology, linguistics, and more) and gentle explanations of the math behind dozens of algorithms provide a comprehensive yet accessible look at how geometry shapes the algorithms that drive data analysis.In addition to gaining a deeper understanding of how to implement geometry-based algorithms with code, you'll explore-Supervised and unsupervised learning algorithms and their application to network data analysisThe way distance metrics and dimensionality reduction impact machine learningHow to visualize, embed, and analyze survey and text data with topology-based algorithmsNew approaches to computational solutions, including distributed computing and quantum algorithms "The Shape of Data shows how to use geometry- and topology-based algorithms for machine learning. The book focuses on practical applications rather than dense mathematical concepts, with coding examples using social network data, text data, medical data, and education data"-- Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781718503083

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