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The shape of data : network science, geometry-based machine learning, and topological data analysis in R / by Colleen M. Farrelly and Yaé Ulrich Gaba.
- Format:
- Book
- Author/Creator:
- Farrelly, Colleen, author.
- Gaba, Yaé Ulrich, author.
- Language:
- English
- Subjects (All):
- Geometric programming.
- Topology.
- Machine learning.
- System analysis--Data processing.
- System analysis.
- R (Computer program language).
- Physical Description:
- 1 online resource (xxiii, 233 pages) : illustrations
- Place of Publication:
- San Francisco, CA : No Starch Press, [2023]
- Summary:
- "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."-- Provided by publisher.
- Contents:
- Why geometry?
- Introduction to network data
- Network analysis
- Beyond networks
- Geometry in data science
- Other applications of geometry in machine learning
- Topological data analysis
- Homotopy algorithms
- Working with language
- New approaches to computational solutions.
- Notes:
- OCLC-licensed vendor bibliographic record.
- ISBN:
- 9781098156886
- 1098156889
- OCLC:
- 1371653872
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