The Shape of Data: Geometry-Based Machine Learning and Data Analysis in R
by Colleen M. Farrelly and Yaé Ulrich Gaba
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Fulfillment optionsThe Shape of Data
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 analysis
- The way distance metrics and dimensionality reduction impact machine learning
- How to visualize, embed, and analyze survey and text data with topology-based algorithms
- New approaches to computational solutions, including distributed computing and quantum algorithms
Details
- Publisher
- No Starch Press
- Authors
- Colleen M. Farrelly, Yaé Ulrich Gaba
- Format
- Paperback
- Published
- Sep 12, 2023
- ISBN-13
- 9781718503083
- ISBN-10
- 1718503083
- Pages
- 264
- Carton quantity
- 26 copies
The Shape of Data for groups: pricing
Volume pricing applies automatically in your cart. No codes, no account needed.
| Copies | Price per copy | You save |
|---|---|---|
| 25 – 99 | $27.99 | 30% off list |
| 100 – 249 | $27.19 | 32% off list |
| 250 – 499 | $26.39 | 34% off list |
| 500 – 999 | $25.59 | 36% off list |
| 1,000+ | $24.79 | 38% off list |
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The Shape of Data: Geometry-Based Machine Learning and Data Analysis in R
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