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The Shape of Data: Geometry-Based Machine Learning and Data Analysis in R
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
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
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
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
240 pages, Kindle Edition
Published September 12, 2023
7 people are currently reading
25 people want to read
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Displaying 1 of 1 review
May 16, 2024
What Shape Is Data Exactly?
This is a good book on machine learning and data analysis.
I have been wanting to learn more and more about R, and this was a good primer.
I feel that I will get more books on R in the future, but I enjoyed this.
Definitely check it out if you are doing some advanced data analysis.
Recommend it!
3.9/5
This is a good book on machine learning and data analysis.
I have been wanting to learn more and more about R, and this was a good primer.
I feel that I will get more books on R in the future, but I enjoyed this.
Definitely check it out if you are doing some advanced data analysis.
Recommend it!
3.9/5
Displaying 1 of 1 review