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Module 4
Linear Algebra for Machine Learning
1
Vector Operations: Addition, Scalar Multiplication, and Dot Products
Perform vector addition, scalar multiplication, and compute dot products
2
Matrix-Vector Multiplication
Multiply matrices and vectors
3
Matrix Transformations: Scaling, Rotation, and Shear
Describe linear transformations (scaling, rotation, shear) using matrices
4
Matrix Determinants and Inverses
Compute the determinant and inverse of a matrix
5
Solving Systems with Inverse Matrices
Solve systems of linear equations using matrix inversion
6
Eigenvalues and Eigenvectors of 2x2 Matrices
Compute eigenvalues and eigenvectors of a 2x2 matrix
7
Eigenvalues and Eigenvectors: A Geometric Perspective
Explain the geometric interpretation of eigenvalues and eigenvectors
NumPy for Linear Algebra
Implement matrix operations and solve linear systems using NumPy
Previous module
Logic and Computational Thinking
Next module
Calculus for Machine Learning