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Linear Algebra And Learning From Data

Linear Algebra And Learning From Data - Strang, Gilbert (massachusetts Institute Of Technology) - ISBN: 9780692196380
Prijs: € 74,90
Levertijd: 3 tot 4 werkdagen
Bindwijze: Boek, Gebonden
Genre: Toepassingsgerichte wiskunde
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Beschrijving

From Gilbert Strang, the first textbook that teaches linear algebra together with deep learning and neural nets.

Details

Titel: Linear Algebra And Learning From Data
auteur: Strang, Gilbert (massachusetts Institute Of Technology)
Mediatype: Boek
Bindwijze: Gebonden
Taal: Engels
Aantal pagina's: 446
Uitgever: Wellesley-cambridge Press,u.s.
NUR: Toepassingsgerichte wiskunde
Afmetingen: 239 x 204 x 19
Gewicht: 950 gr
ISBN/ISBN13: 9780692196380
Intern nummer: 44182766

Biografie (woord)

Gilbert Strang has been teaching Linear Algebra at Massachusetts Institute of Technology (MIT) for over fifty years. His online lectures for MIT's OpenCourseWare have been viewed over three million times. He is a former President of the Society for Industrial and Applied Mathematics and Chair of the Joint Policy Board for Mathematics. Professor Strang is author of twelve books, including the bestselling classic Introduction to Linear Algebra (2016), now in its fifth edition.

Inhoudsopgave

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 VI. 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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