Foundations of Data Science – Lecture 4
- Ravi Kannan | Microsoft
Modern data often consists of feature vectors with a large number of features. High-dimensional geometry and Linear Algebra (Singular Value Decomposition) are two of the crucial areas which form the mathematical foundations of Data Science. This mini-course covers these areas, providing intuition and rigorous proofs. Connections between Geometry and Probability will be brought out. Text Book: Foundations of Data Science.
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Ravi Kannan
Principal Researcher
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接下来观看
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GenAI for Supply Chain Management: Present and Future
- Georg Glantschnig,
- Beibin Li,
- Konstantina Mellou
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Using Optimization and LLMs to Enhance Cloud Supply Chain Operations
- Beibin Li,
- Konstantina Mellou,
- Ishai Menache
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Microsoft Research India - who we are.
- Kalika Bali,
- Sriram Rajamani,
- Venkat Padmanabhan
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