Statistical And Information Theoretic Methods For Data Analysis

Download Statistical And Information Theoretic Methods For Data Analysis full books in PDF, epub, and Kindle. Read online free Statistical And Information Theoretic Methods For Data Analysis ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Information-Theoretic Methods in Data Science

Information-Theoretic Methods in Data Science
Author :
Publisher : Cambridge University Press
Total Pages : 561
Release :
ISBN-10 : 9781108427135
ISBN-13 : 1108427138
Rating : 4/5 (138 Downloads)

Book Synopsis Information-Theoretic Methods in Data Science by : Miguel R. D. Rodrigues

Download or read book Information-Theoretic Methods in Data Science written by Miguel R. D. Rodrigues and published by Cambridge University Press. This book was released on 2021-04-08 with total page 561 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first unified treatment of the interface between information theory and emerging topics in data science, written in a clear, tutorial style. Covering topics such as data acquisition, representation, analysis, and communication, it is ideal for graduate students and researchers in information theory, signal processing, and machine learning.


Information-Theoretic Methods in Data Science Related Books

Information-Theoretic Methods in Data Science
Language: en
Pages: 561
Authors: Miguel R. D. Rodrigues
Categories: Computers
Type: BOOK - Published: 2021-04-08 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

The first unified treatment of the interface between information theory and emerging topics in data science, written in a clear, tutorial style. Covering topics
Information Theory and Statistical Learning
Language: en
Pages: 443
Authors: Frank Emmert-Streib
Categories: Computers
Type: BOOK - Published: 2009 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This interdisciplinary text offers theoretical and practical results of information theoretic methods used in statistical learning. It presents a comprehensive
Statistics for High-Dimensional Data
Language: en
Pages: 568
Authors: Peter Bühlmann
Categories: Mathematics
Type: BOOK - Published: 2011-06-08 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book presents a detailed ac
Model Selection and Multimodel Inference
Language: en
Pages: 512
Authors: Kenneth P. Burnham
Categories: Mathematics
Type: BOOK - Published: 2007-05-28 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

A unique and comprehensive text on the philosophy of model-based data analysis and strategy for the analysis of empirical data. The book introduces information
Theory-Based Data Analysis for the Social Sciences
Language: en
Pages: 473
Authors: Carol S. Aneshensel
Categories: Reference
Type: BOOK - Published: 2013 - Publisher: SAGE

DOWNLOAD EBOOK

This book presents the elaboration model for the multivariate analysis of observational quantitative data. This model entails the systematic introduction of "th