on Jingdong.Īdditional Resources for Instructors and Readers Related teaching and learning materials can be found at:
#Bookwright problems download#
This pre-publication version is free to view and download for Principles, Computation, and Applications" by John WrightĪnd Yi Ma. "High-Dimensional Data Analysis with Low-Dimensional Models: This material will be published by Cambridge University Press as The latest version reflects small changes made to the original. Berkeley EECS208 Lecture Slides ( version last updated on ).Ī complete version of the manuscript was first released here online on December 06, 2020.Book-Wright-Ma on Github or on Dropbox or on CSDN ( version last updated on ).Tsinghua University, ShanghaiTech University, and University of Michigan etc. Early versions of this book have been used as the textbook for courses at University of Illinois, University of Californina at Berkeley, Columbia University, This textbbook is intended for an introductatory graduate course that helps students establish a solid foundation for theĪreas of data science, signal processing, optimization, and machine Including sparse, low-rank, and deep network models, with both convex and nonconvex formulations. Comprehensive in its approach, the book provides unifiedĬoverage of many different low-dimensional models and analytical techniques, Scientific imaging, wideband communications, face recognition, 3D Scalable optimization methods and their applications in important real-world problems such as
The book covers new mathematical (statistical, geometrical, computational) principles for high-dimensional data analysis, with Principles, Computation, and Applications John Wright High-Dimensional Data Analysis by John Wright and Yi Ma