Convex Optimization for Machine Learning: The Graduate Workbook: Theory, Duality, First-Order Algorithms, Regularized Learning, Sparse Models, Kernel Methods, and Research Applications

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Convex Optimization for Machine Learning: The Graduate Workbook: Theory, Duality, First-Order Algorithms, Regularized Learning, Sparse Models, Kernel Methods, and Research Applications

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Marchio	Independently Published
EAN	9798184476520

Independently Published

Numerical Methods for Machine Learning: Optimization, Stability, and Algorithms

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Independently Published

Numerical Methods for Machine Learning: Optimization, Stability, and Algorithms

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Cambridge University Press

Kernel Methods and Machine Learning (English Edition)

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Reproducing Kernel Methods for Machine Learning, PDEs, and Statistics

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