Gain Deep Understanding Of Linear Algebra Theoretically, Conceptually & Practically.
Obtain A Very Robust Mathematical Foundation For Machine & Deep Learning, Computer Graphics, And Control Systems.
Learn How To Use Both Python And Matlab For Solving & Visualizing Linear Algebra Problems.
[Matrix Calculus] Learn How To Differentiate & Optimize Complex Equations Involving Matrices.
Learn A Lot About Data Science, Co-variance Matrices, And The PCA.
Learn About Linear Regression, The Normal Equation, And The Projection Matrix.
Learn About Singular Value Decompositions Formally & Conceptually.
Learn About Inverses And Pseudo Inverses.
Learn About Determinants And Positive Definite Matrices.
Learn How To Solve Systems Of Linear, Difference, & Differential Equations Both By Hand And Software.
Learn About Lagrange Multipliers & Taylor Expansion.
Learn About The Hessian Matrix And Its Importance In Multi-variable Calculus & Optimizations.
Learn About Complex Transformation Matrices Like The Matrix To Perform Rotation Around An Arbitrary Axis In 3D.
