The Shape of Data
Geometry-Based Machine Learning and Data Analysis in R — co-authored book published by No Starch Press.
The Shape of Data: Geometry-Based Machine Learning and Data Analysis in R is a book co-authored with Colleen M. Farrelly, published by No Starch Press.
About the Book
This book provides a comprehensive introduction to geometry-based approaches in machine learning and data analysis, including:
- Topological Data Analysis (TDA): Persistent homology, Mapper algorithm, Betti numbers
- Geometric methods: Manifold learning, curvature-based features
- Practical R implementations: Hands-on code for real-world datasets
ISBN: 9781718503083