Statistical Inference and Machine Learning for Big Data - Softcover
Book 11 of 11: Springer Series in the Data Sciences
Synopsis
I. 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.
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