Linear Algebra and Optimization for Machine Learning

DOI10.1007/978-3-030-40344-7zbMath1451.68002OpenAlexW4205910419MaRDI QIDQ5107275

Charu C. Aggarwal

Publication date: 20 April 2020

Full work available at URL: https://doi.org/10.1007/978-3-030-40344-7

zbMATH Keywords

optimizationeigenvalueseigenvectorslinear algebragradient descentstatistical machine learning

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to computer science (68-01) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics (62-01) Applications of mathematical programming (90C90) Learning and adaptive systems in artificial intelligence (68T05) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to operations research and mathematical programming (90-01) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to linear algebra (15-01)

Related Items (1)

Convergence rate bounds for iterative random functions using one-shot coupling

Uses Software

• LIBSVM
• LIBLINEAR
• LIBMF
• fastFM
• AdaGrad
• Adam
• GloVe
• LowRankModels
• node2vec

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