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Linear algebra and learning from data

By: Material type: TextTextPublication details: Wellesley : Cambridge Press, 2019Description: xiii, 431 pISBN:
  • 9780692196380
Subject(s):
Contents:
Deep learning and neural nets -- Preface and acknowledgements -- Part I: Highlights of linear algebra -- Part II: Computations with large matrices -- Part III: Low rank and compressed sensing -- Part IV: Special matrices -- Part V: Probability and statistics -- Part IV: Optimization -- Part VII: Learning from data -- Books on machine learning -- Eigenvalues and singular values : rank one -- Codes and algorithms for numerical linear algebra -- Counting parameters in the basic factorizations -- Index of authors -- Index -- Index of symbols
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Item type Home library Call number Status Date due Barcode
Libro Libro Biblioteca de la Facultad de Informática G.1.3 STR (Browse shelf(Opens below)) Available DIF-05400

Incluye índice

Deep learning and neural nets -- Preface and acknowledgements -- Part I: Highlights of linear algebra -- Part II: Computations with large matrices -- Part III: Low rank and compressed sensing -- Part IV: Special matrices -- Part V: Probability and statistics -- Part IV: Optimization -- Part VII: Learning from data -- Books on machine learning -- Eigenvalues and singular values : rank one -- Codes and algorithms for numerical linear algebra -- Counting parameters in the basic factorizations -- Index of authors -- Index -- Index of symbols

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