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Farrelly, C: Shape of Data
46,61 € 
- Mēs nosūtīsim 10-14 darba dienu laikā.
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 f…
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2025-06-02 08:00:00
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- Autors: Colleen M. Farrelly, Yaé Ulrich Gaba
- Izdevējs Random House LLC US
- Gads: 2023
- Lapas: 264
- ISBN-10 : 1718503083
- ISBN-13 : 9781718503083
- Formāts: 18.2 x 23.5 x 1.7 cm, minkšti viršeliai
- Valoda: Anglų
- Extra -10% atlaide, ievadot kodu: EXTRA
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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
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- Autors: Colleen M. Farrelly, Yaé Ulrich Gaba
- Izdevējs Random House LLC US
- Gads: 2023
- Lapas: 264
- ISBN-10: 1718503083
- ISBN-13: 9781718503083
- Formāts 18.2 x 23.5 x 1.7 cm, minkšti viršeliai
- Valoda: Anglų
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
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
Atsauksmes