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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.

 

Course Instructor(s)

  • Irfan Khan

    Irfan Khan

    Area(s) of Expertise
    • AI/ML
    • Probability/Statistics
    • Algorithms
    • System solutions for edge devices and infrastructure
    • ASICs
    • Communication Networks
    Contact Info

    ikhan@ucsd.edu

  • Rayan Saab

    Rayan Saab

    Area(s) of Expertise
    • Mathematical Signal Processing 
    • Mathematics of Data Science
    • Applied and Computational Harmonic Analysis
    Contact Info

    rsaab@ucsd.edu