Machine learning for knowledge discovery with R : methodologies for modeling, inference and prediction /

Tsai, Kao-Tai,

Machine learning for knowledge discovery with R : methodologies for modeling, inference and prediction / Kao-Tai Tsai. - First edition. - Boca raton CRC Press 2022 - xv, 244 pages

Includes bibliographical references and index.

"Machine Learning for Knowledge Discovery with R contains methodologies and examples for statistical modelling, inference, and prediction of data analysis. It includes many recent supervised and unsupervised machine learning methodologies such as recursive partitioning modelling, regularized regression, support vector machine, neural network, clustering, and causal-effect inference. Additionally, it emphasizes statistical thinking of data analysis, use of statistical graphs for data structure exploration, and result presentations. The book includes many real-world data examples from life-science, finance, etc. to illustrate the applications of the methods described therein"--

9781032065366 9781032071596


Data mining
Machine learning.
R (Computer program language)

006.32 / TSA