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Linear Algebra and Optimization for Machine Learning

Linear Algebra and Optimization for Machine Learning

A Textbook

by Charu Aggarwal
Hardback
Publication Date: 13/05/2020

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Preface.- 1 Linear Algebra and Optimization: An Introduction.- 2 Linear Transformations and Linear Systems.- 3 Eigenvectors and Diagonalizable Matrices.- 4 Optimization Basics: A Machine Learning View.- 5 Advanced Optimization Solutions.- 6 Constrained Optimization and Duality.- 7 Singular Value Decomposition.- 8 Matrix Factorization.- 9 The Linear Algebra of Similarity.- 10 The Linear Algebra of Graphs.- 11 Optimization in Computational Graphs.- Index.

ISBN:
9783030403430
9783030403430
Category:
Computer networking & communications
Format:
Hardback
Publication Date:
13-05-2020
Language:
English
Publisher:
Springer International Publishing AG
Country of origin:
Switzerland
Dimensions (mm):
254x178mm
Weight:
1.18kg

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