Description

The Shape of Data shows how to use geometry- and topology-based algorithms for machine learning. Focused on practical applications rather than dense mathematical concepts, the book progresses through coding examples using social network data, text data, medical data, and education data. Readers will come away with an entirely new toolkit to use in their own machine-learning work, as well as with a solid understanding of some of the most exciting algorithms being used in the field today.

The Shape Of Data: Geometry-Based Machine Learning and Data Analysis in R

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Paperback / softback by Colleen M. Farrelly , Yae Ulrich Gaba

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Short Description:

The Shape of Data shows how to use geometry- and topology-based algorithms for machine learning. Focused on practical applications rather... Read more

    Publisher: No Starch Press,US
    Publication Date: 12/09/2023
    ISBN13: 9781718503083, 978-1718503083
    ISBN10: 1718503083

    Number of Pages: 264

    Non Fiction , Computing

    Description

    The Shape of Data shows how to use geometry- and topology-based algorithms for machine learning. Focused on practical applications rather than dense mathematical concepts, the book progresses through coding examples using social network data, text data, medical data, and education data. Readers will come away with an entirely new toolkit to use in their own machine-learning work, as well as with a solid understanding of some of the most exciting algorithms being used in the field today.

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