Advanced
Error loading page.
Try refreshing the page. If that doesn't work, there may be a network issue, and you can use our self test page to see what's preventing the page from loading.
Learn more about possible network issues or contact support for more help.
Title details for The Shape of Data by Colleen M. Farrelly - Available

The Shape of Data

Geometry-Based Machine Learning and Data Analysis in R

by Colleen M. Farrelly
Yaé Ulrich Gaba
ebook
1 of 2 copies available
Borrow Read a sample Read a sample
1 of 2 copies available
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

    • Formats

    • Kindle Book
    • OverDrive Read
    • EPUB ebook

    subjects

    Languages

    • English

    Loading
    Check out the rest of Cuyahoga County Public Library's digital offerings, like newspapers, streaming video, music, and more.