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OverviewFull Product DetailsAuthor: Mayer AlvoPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: 1st ed. 2022 Weight: 1.116kg ISBN: 9783031067860ISBN 10: 303106786 Pages: 431 Publication Date: 01 December 2023 Audience: College/higher education , Postgraduate, Research & Scholarly , Undergraduate Format: Paperback Publisher's Status: Active Availability: Manufactured on demand We will order this item for you from a manufactured on demand supplier. Table of ContentsI. Introduction to Big Data.- Examples of Big Data.- II. Statistical Inference for Big Data.- Basic Concepts in Probability.- Basic Concepts in Statistics.- Multivariate Methods.- Nonparametric Statistics.- Exponential Tilting and its Applications.- Counting Data Analysis.- Time Series Methods.- Estimating Equations.- Symbolic Data Analysis.- III Machine Learning for Big Data.- Tools for Machine Learning.- Neural Networks.- IV Computational Methods for Statistical Inference.- Bayesian Computation Methods.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |