Linear Algebra And Optimization With Applications To Machine Learning - Volume Ii: Fundamentals Of Optimization Theory With Applications To Machine Le

Linear Algebra And Optimization With Applications To Machine Learning - Volume Ii: Fundamentals Of Optimization Theory With Applications To Machine Learning By Gallier, Jean H Published by World Scientific Publishing Company Publication Date: 2020-05-12 Subject: Computers Computer Science, Computers Computer Science, Mathematics Algebra Linear, Mathematics Optimization, Mathematics Algebra - Linear, Mathematics Optimization, Algebra, Machine Learning, Maths For Computer Scientists, Optimization, Maths For Computer Scientists, Machine Learning, Algebra, Optimization, Mathematics Algebra Linear, Mathematics, Linear, Mathematics Optimization, Computers Computer Science, Computers, Computer Science, Algebras, Linear, Machine Learning - Mathematics, Anf: Computers And It Subject Keywords: Lagrange Multipliers; KKT-Conditions; Lagrangian Duality; AADM; Support Vector Machines (SVM); Hard Margin SVM; Soft Margin SVM; Kernel Methods; Kernel PCA; Lasso Regression; Ridge Regression; Elastic-Net Regression; Linear Programming; Simplex Method; Dual-Simplex Method; Primal-Dual Simplex Method; Quadratic Optimization; Subgradients; Cone of Feasible Directions; Hilbert Spaces Genre: Maths For Computer Scientists, Machine Learning, Algebra, Optimization, Mathematics, Algebra, Linear, Mathematics, Optimization, Computers, Computer Science, Maths For Computer Scientists, Machine Learning, Algebra, Optimization Target Audience: Tertiary education