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Cambridge University Press Cambridge High-Dimensional Data Analysis Textbook

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Description

Master the principles of high-dimensional data analysis with this systematic introduction from Cambridge University Press. This textbook connects mathematical theory with practical application, covering fundamental algorithms and key models used in modern computation. Readers gain a unified understanding of various low-dimensional models and analytical techniques, including both convex and non-convex formulations. The content provides deep coverage of sparse and low-rank models to help you navigate complex data structures. By studying these principles, you will learn to develop efficient and scalable algorithms designed to solve real-world problems. Supported by numerous examples and exercises, this book serves as a rigorous guide for those looking to master the computation and application of advanced mathematical models.

Key Features

This Cambridge University Press book provides a systematic and rigorous introduction to the fundamental principles of high-dimensional data analysis.

Learn to implement various low-dimensional models and analytical techniques, including sparse and low-rank models.

The text covers both convex and non-convex formulations to provide a comprehensive approach to mathematical modeling.

Develop the skills needed to create efficient and scalable algorithms for solving complex real-world problems.

Gain practical knowledge through the use of numerous examples and exercises included throughout the text.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
13 January 2022
Listed Since
14 May 2021

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