I believe that many do little machine learning research partners have plagued more or less knowledge of mathematics, the following book is Professor of Computer and Information Science Department of the University of Pennsylvania Jean Gallier open source books, covers not only the relevant mathematical knowledge and machine learning , but also for its application also made related presentations.
Gallier Jean , University of Pennsylvania Department of Computer and Information Science professor . The main research directions forcomputer graphics, computer vision, roboticsand so on.
brief introduction:
The book is divided into ten comprehensive and systematic introduction to the main machine learning mathematics involved, including: linear algebra, affine and projective geometry, bilinear forms of geometry, topology, differential calculus, etc., for want to lay a solid foundation of knowledge related to mathematics learners.
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Complete Directory
First: Linear Algebra
Second: affine and projective geometry
Part III: bilinear form of geometry
Part IV: Geometry: the PID, the UFD, Knott ring, tensor, modules on the PID, standardized shape
Part V: topology, differential calculus
Section 6: Optimization basis
Title VII: linear optimization
Section 8: nonlinear optimization
CHAPTER 9: machine learning applications
Tenth Canto: Appendix
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