TY  - BOOK
AU  - Pereira,Basilio de Bragança
AU  - Rao,C.Radhakrishna
AU  - Borges de Oliveira,Fabio
TI  - Statistical learning using neural networks: a guide for statisticians and data scientists 
SN  - 9780429431296
AV  - QA276.4 .P466 2020eb
U1  - 519.50285/632 23
PY  - 2020///
CY  - Boca Raton
PB  - CRC Press, Taylor & Francis Group
KW  - Statistics
KW  - Data processing
KW  - Multivariate analysis
KW  - Neural networks (Computer science)
KW  - Computational learning theory
KW  - Methodology
KW  - Python (Computer program language)
KW  - BUSINESS & ECONOMICS / Statistics
KW  - bisacsh
KW  - COMPUTERS / Database Management / Data Mining
KW  - COMPUTERS / Machine Theory
N1  - Fundamental concepts on neural networks -- Some common neural network models -- Multivariate statistics neural network models -- Regression neural network models -- Survival analysis and other networks
N2  - "This book introduces artificial neural networks to students and professionals. It covers the theory and applications in statistical learning methods with concrete Python code examples. Statistical topics covered include multivariate statistics (Cluster, Classification, Dimension Reduction, Projection Pursuit, Nonlinear Regression) Survival Analysis (Cox Model and Extensions) Control, Chart and Statistical Inference. Illustrative examples will be mainly from medicine, engineering, and economics"--
UR  - https://www.taylorfrancis.com/books/9780429431296
UR  - http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
ER  -