hongxin/csmath-2022

This mathematics course is taught for the first year Ph.D. students of computer science and related areas @zju

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This is a graduate-level mathematics course for first-year Ph.D. students in computer science and related fields. It provides an introduction to mathematical methods, concepts, and algorithms essential for research in areas like computer vision, pattern recognition, and data mining. You'll gain a foundational understanding of statistical learning, non-linear optimization, partial differential equations, and applied functional analysis.

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Use this if you are a new Ph.D. student in computer science seeking a robust mathematical foundation for advanced research in machine learning, data mining, or related computational fields.

Not ideal if you are looking for an introductory course in basic programming or a general overview of computer science topics, as this focuses specifically on advanced mathematics for research.

computer-science-phd mathematical-foundations statistical-learning optimization data-mining-research
Stale 6m No Package No Dependents
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Adoption 8 / 25
Maturity 16 / 25
Community 8 / 25

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MIT

Last pushed

Apr 30, 2024

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