Sparse Estimation with Math and R

Sparse Estimation with Math and R

Author: Joe Suzuki

Publisher: Springer

ISBN: 9811614458

Category: Computers

Page: 200

View: 556

The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than knowledge and experience. This textbook approaches the essence of sparse estimation by considering math problems and building R programs.
Sparse Estimation with Math and R
Language: en
Pages: 200
Authors: Joe Suzuki
Categories: Computers
Type: BOOK - Published: 2021-08-23 - Publisher: Springer

The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than knowledge and experience. This textbook approaches the essence of sparse estimation by considering math problems and building R programs.
Sparse Estimation with Math and Python
Language: en
Pages: 200
Authors: Joe Suzuki
Categories: Computers
Type: BOOK - Published: 2021-08-23 - Publisher: Springer

The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than knowledge and experience. This textbook approaches the essence of sparse estimation by considering math problems and building Python programs.
Oracle Inequalities in Empirical Risk Minimization and Sparse Recovery Problems
Language: en
Pages: 254
Authors: Vladimir Koltchinskii
Categories: Mathematics
Type: BOOK - Published: 2011-07-29 - Publisher: Springer

The purpose of these lecture notes is to provide an introduction to the general theory of empirical risk minimization with an emphasis on excess risk bounds and oracle inequalities in penalized problems. In recent years, there have been new developments in this area motivated by the study of new classes
Direct Methods for Sparse Matrices
Language: en
Pages: 341
Authors: Iain S. Duff, Computer Sciences and Systems Division J K Reid, A. M. Erisman, John Ker Reid
Categories: Mathematics
Type: BOOK - Published: 1986 - Publisher: Oxford University Press

This subject has its roots in such diverse fields as management science, power systems analysis, surveying, circuit theory, and structural analysis. Efficient use of sparsity is a key to solving large problems in many fields.
Estimation Via Sparse Approximations
Language: en
Pages: 94
Authors: Alyson Kerry Fletcher
Categories: Mathematics
Type: BOOK - Published: 2005 - Publisher:

Books about Estimation Via Sparse Approximations