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Linear Algebra and Optimization for Machine Learning

By Aggarwal, Charu C.

Linear Algebra and Optimization for Machine Learning

By Aggarwal, Charu C.

0 - Default Title
Description
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.
Product details
Edition:
2
Number of Pages:
672
Release Date:
2025-09-24
Publication Date:
2025-09-24
Publisher:
Springer
Languages:
Original: English
ISBN10:
3031986180
ISBN13:
9783031986185
GPSR Manufacturer Reference:
[email protected]
Weight:
1439 g
Height:
183 cm
Width:
260 cm
Thickness:
42 cm
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