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Area(s) of Expertise
- AI/ML
- Probability/Statistics
- Algorithms
- System solutions for edge devices and infrastructure
- ASICs
- Communication Networks
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Area(s) of Expertise
- Mathematical Signal Processing
- Mathematics of Data Science
- Applied and Computational Harmonic Analysis
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Area(s) of Expertise
- Graph Neural Networks
- Spectral Graph Theory
- Computational Topology
DSC 215R: Foundations of Probability and Statistics in Data Science
Course Information
Course Type
Foundation
Course Description
Foundations of probability and statistics needed for Data Science, including mathematical theory, and hands-on experience of applying this theory to actual data using Jupyter notebooks. Random variables; Dependence; Correlation; Regression; PCA; Entropy and MDL.