hongxin/csmath-2019
This mathematics course is taught for the first year Ph.D. students of computer science and related areas @ZJU
This course provides first-year Ph.D. students in computer science and related fields with essential mathematical tools and concepts for advanced research. It covers multivariate statistics, non-linear optimization, partial differential equations, and applied functional analysis. Students gain an understanding of mathematical methodologies, theories, and algorithms crucial for areas like computer vision, pattern recognition, and data mining.
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Use this if you are a computer science Ph.D. student needing a foundational mathematics course to prepare for research in fields like machine learning, computer vision, or data analysis.
Not ideal if you are looking for an introductory course to general programming or software development, as this is focused on advanced mathematical theory for research.
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Jun 01, 2019
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