（书籍 PDF）High-Dimensional Data Analysis with Low-Dimensional Models

[SoftwareTeacher]

来源： 来源

The book covers new mathematical (statistical, geometrical, computational) principles for high-dimensional data analysis, with scalable optimization methods and their applications in important real-world problems such as scientific imaging, wideband communications, face recognition, 3D vision, and deep networks. Comprehensive in its approach, the book provides unified coverage of many different low-dimensional models and analytical techniques, including sparse, low-rank, and deep network models, with both convex and nonconvex formulations.

This textbbook is intended for an introductatory graduate course that helps students establish a solid foundation for the areas of data science, signal processing, optimization, and machine learning. Early versions of this book have been used as the textbook for courses at University of Illinois, University of Californina at Berkeley, Columbia University, Tsinghua University, ShanghaiTech University, and University of Michigan etc.

Book-WM-20210422.pdf 70.17M

[电力电子也很帅。]

@SoftwareTeacher 您好，下载不了

[SoftwareTeacher]

@weixin_44246559 在PC 浏览器点击帖子中的 PDF 文件

[weixin_44246559]

怎么下载？

[SoftwareTeacher]

@Ησυψηο 你可以联系作者： https://book-wright-ma.github.io/

[Ησυψηο]

请问书里面提到的代码有地方下载吗，说是在book website上但是好像没有？