The shape of data: geometry-based machine learning and data analysis in r, colleen m....
Описание
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 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
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Analysis in R, Colleen M. Farrelly, Yaé Ulrich Gaba Ви можете по посиланню
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