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· 제목 : Linear Algebra and Optimization for Machine Learning: A Textbook (Hardcover, 2020) 
· 분류 : 외국도서 > 컴퓨터 > 인공지능(AI)
· ISBN : 9783030403430
· 쪽수 : 495쪽
· 분류 : 외국도서 > 컴퓨터 > 인공지능(AI)
· ISBN : 9783030403430
· 쪽수 : 495쪽
목차
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.
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