EE212 Mathematical Foundations for Machine Learning and Data ScienceSummer 2020
Department of Electrical Engineering

Assignment  Solutions 
Assignments 01  Solutions 
Assignments 02  Solutions 
Assignments 03  Solutions 
Assignments 04  Solutions 
Number  Quiz  Solutions 
Quiz 01  Solutions  
Quiz 02  Solutions  
Quiz 03  Solutions  
Quiz 04  Solutions  
Quiz 05  Solutions  
Quiz 06  Solutions  
Quiz 07  Solutions  
Quiz 08  Solutions 
Lab Handout 0 (PreLab, must be completed before Lab 01)
Lab Handout 05 (Datasets available on LMS)
Module 01: Vectors – Notation, Applications and Basic Operations
Module 02: Operations on Vectors – Norm
Module 03: Operations on Vectors – Distance, Angle and Standard Deviation
Module 04: Operations on Vectors – Linear Independence, Basis and Orthonormal Vectors
Module 05: Operations on Vectors – GramSchmidt Orthogonalization Algorithm
Module 06: Vector Spaces and Subspaces – Linear Algebra
Module 07: Matrices – Notation, Application Examples and Basic Operations
Module 08: MatrixVector Product – Interpretation and Application Examples
PreLab Tutorial: Lab 02
PreLab Tutorial: Lab 03