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Overview
Linear Algebra for Data Science, Big Data, Machine Learning, Engineering & Computer Science. Master Linear Algebra What you'll learn: Fundamentals of Linear Algebra and how to ace your Linear Algebra examBasics of matrices (notation, dimensions, types, addressing the entries etc.)Operations on a single matrix, e.g. scalar multiplication, transpose, determinant & adjointOperations on two matrices, including addition, subtraction and multiplication of matricesPerforming elementary row operations and finding Echelon Forms (REF & RREF)Inverses, including invertible and singular matrices, and the Cofactor...
Syllabus
- Welcome and Introduction
- Basics of Matrices
- Basics of Matrices (Continued)
- Matrices and Systems of Linear Equations
- Matrix Algebra and Operations
- Determinant of a Matrix
- Inverse of a Matrix
- Properties of Determinants
- *** OPTIONAL: Introduction to Vectors
- Vector Spaces
Instructor
Kashif A.
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