High-Dimensional Data Analysis with Low-Dimensional Models: Principles, Computation, and Applications - Image 1

£57.22

Cambridge University Press High-Dimensional Data Analysis with Low-Dimensional Models: Principles, Computation, and Applications

Name: High-Dimensional Data Analysis with Low-Dimensional Models: Principles, Computation, and Applications
Brand: Cambridge University Press
Price: 57.48 GBP
Availability: InStock

Computer Science

Price History & Forecast

Last 38 days • 38 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 38 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £57 (21 days, 55.3%)

Price range: £57 - £60

Price levels: 2 different prices over 38 days

Description

Connecting theory with practice, this systematic and rigorous introduction covers the fundamental principles, algorithms and applications of key mathematical models for high-dimensional data analysis. Comprehensive in its approach, it provides unified coverage of many different low-dimensional models and analytical techniques, including sparse and low-rank models, and both convex and non-convex formulations. Readers will learn how to develop efficient and scalable algorithms for solving real-world problems, supported by numerous examples and exercises throughout, and how to use the computational tools learnt in several application contexts. Applications presented include scientific imaging, communication, face recognition, 3D vision, and deep networks for classification. With code available online, this is an ideal textbook for senior and graduate students in computer science, data science, and electrical engineering, as well as for those taking courses on sparsity, low-dimensional structures, and high-dimensional data. Foreword by Emmanuel Candès.

Product Specifications

Brand: Cambridge University Press
Format: hardcover
ASIN: 1108489737
Category: Books > Subjects > Computing & Internet > Computer Science
Domain: Amazon UK
Release Date: 13 January 2022
Listed Since: 14 May 2021

Barcode

No barcode data available

Cambridge University Press High-Dimensional Data Analysis with Low-Dimensional Models: Principles, Computation, and Applications

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Foundations of Data Science

High-Dimensional Statistics: A Non-Asymptotic Viewpoint: 48 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 48)

High-Dimensional Probability: An Introduction with Applications in Data Science: 47 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 47)

Linear Algebra for Data Science, Machine Learning, and Signal Processing

Big and Complex Data Analysis: Methodologies and Applications (Contributions to Statistics)

Analysis of Multivariate and High-Dimensional Data: Series Number 32 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 32)

Elements of Dimensionality Reduction and Manifold Learning

Dimensionality Reduction in Data Science

Tensor Computation for Data Analysis

Introduction to High-Dimensional Statistics (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Low-Rank and Sparse Modeling for Visual Analysis

Data Science and Predictive Analytics: Biomedical and Health Applications using R (The Springer Series in Applied Machine Learning)

Data Science and Predictive Analytics: Biomedical and Health Applications using R (The Springer Series in Applied Machine Learning)

CRC Press Manifold Learning Theory and Applications Book

Springer Matrix-Based Introduction to Multivariate Data Analysis

Matrix-Based Introduction to Multivariate Data Analysis

Computer Vision: Three-dimensional Reconstruction Techniques

Generalized Principal Component Analysis: 40 (Interdisciplinary Applied Mathematics, 40)

Sparse Image and Signal Processing: Wavelets and Related Geometric Multiscale Analysis, Second Edition

Statistics for High-Dimensional Data: Methods, Theory and Applications (Springer Series in Statistics)

Statistics for High-Dimensional Data: Methods, Theory and Applications (Springer Series in Statistics)

Applied Data Analytics - Principles and Applications (River Publishers Series in Signal, Image and Speech Processing)

Mathematical Foundations of Data Science (Texts in Computer Science)

Computer Vision: Algorithms and Applications (Texts in Computer Science)