Linear Algebra and Learning from Data

GPTKB entity

Statements (36)
Predicate Object
gptkbp:instanceOf gptkb:book
gptkbp:author gptkb:Gilbert_Strang
gptkbp:chapter gptkb:Data_Science
gptkb:Singular_Value_Decomposition
gptkb:Probability_and_Statistics
gptkb:Neural_Networks
gptkb:Support_Vector_Machines
Deep Learning
Optimization
Principal Component Analysis
Orthogonality
Markov Chains
Least Squares
Applications to Machine Learning
Eigenvalues and Eigenvectors
Linear Equations
Vector Spaces
gptkbp:format gptkb:book
Print
https://www.w3.org/2000/01/rdf-schema#label Linear Algebra and Learning from Data
gptkbp:ISBN 978-0692196380
gptkbp:language English
gptkbp:pages 446
gptkbp:publicationYear 2019
gptkbp:publisher gptkb:Wellesley-Cambridge_Press
gptkbp:relatedTo gptkb:Machine_Learning
gptkb:Introduction_to_Linear_Algebra
Deep Learning
gptkbp:reviewedBy Positive reviews for clarity and practical examples
gptkbp:subject gptkb:Linear_algebra
Machine learning
gptkbp:targetAudience Researchers
Students
gptkbp:usedIn University courses
gptkbp:bfsParent gptkb:Wellesley-Cambridge_Press
gptkbp:bfsLayer 8