Statistical modeling in machine learning : concepts and applications / edited by Tilottama Goswami, G.R. Sinha.

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.