02117nam 2200469 450 991048326100332120210211180415.03-030-56831-810.1007/978-3-030-56831-3(CKB)4100000011457798(DE-He213)978-3-030-56831-3(MiAaPQ)EBC6351023(PPN)250223511(EXLCZ)99410000001145779820210211d2020 uy 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierFundamentals of data analytics with a view to machine learning /Rudolf Mathar [and three others]1st ed. 2020.Cham, Switzerland :Springer,[2020]©20201 online resource (XI, 127 p. 41 illus., 28 illus. in color.)3-030-56830-X Includes bibliographical references and index.1 Introduction -- 2 Prerequisites from Matrix Analysis -- 3 Multivariate Distributions and Moments -- 4 Dimensionality Reduction -- 5 Classification and Clustering -- 6 Support Vector Machines -- 7 Machine Learning -- Index.This book introduces the basic methodologies for successful data analytics. Matrix optimization and approximation are explained in detail and extensively applied to dimensionality reduction by principal component analysis and multidimensional scaling. Diffusion maps and spectral clustering are derived as powerful tools. The methodological overlap between data science and machine learning is emphasized by demonstrating how data science is used for classification as well as supervised and unsupervised learning. .StatisticsData processingBig dataStatisticsData processing.Big data.519.50285Mathar Rudolf984909MiAaPQMiAaPQMiAaPQBOOK9910483261003321Fundamentals of data analytics2250545UNINA