TY  - BOOK
AU  - Goswami,Tilottama
AU  - Sinha,G.R.
TI  - Statistical modeling in machine learning: concepts and applications 
SN  - 9780323917766
AV  - Q325.5 .S733 2023
U1  - 006.31 23
PY  - 2023///
CY  - London, United Kingdom, San Diego, CA
PB  - Academic Press, an imprint of Elsevier
KW  - Machine learning
KW  - Statistical methods
N1  - Includes bibliographical references and index; Introduction to statistical modeling in machine learning: a case study -- A technique of data collection: web scraping with python -- Analysis of covid-19 using machine learning techniques -- Discriminative dictionary learning based on statistical methods -- Artificial intelligence-based uncertainty quantification technique for external flow computational fluid dynamic (CFD) simulations -- Contrast between simple and complex classification algorithms -- Classification model of machine learning for medical data analysis -- Regression tasks for machine learning -- Model selection and regularization -- Data clustering using unsupervised machine learning -- Emotion-based classification through fuzzy entropy-enhanced FCM clustering -- Fundamental optimization methods for machine learning -- Stochastic optimization of industrial grinding operation through data-driven robust optimization -- Dimensionality reduction using PCAs in feature partitioning framework -- Impact of midday meal scheme in primary schools in India using exploratory data analysis and data visualization -- Nonlinear system identification of environmental pollutants using recurrent neural networks and global sensitivity analysis -- Comparative study of automated deep learning techniques for wind time-series forecasting.
ER  -