- Applied Mathematics
- Advanced Mathematics
- Dimensionality Reduction
- Data Science
- NumPy
- Machine Learning Algorithms
- Machine Learning
- Python Programming
- Linear Algebra
Linear Algebra Basics
Completed by Taniya Banerjee
December 27, 2022
21 hours (approximately)
Taniya Banerjee's account is verified. Coursera certifies their successful completion of Linear Algebra Basics
What you will learn
Describe the vector spaces, vector subspaces, basis, and dimension of a vector space.
Explain the linear transformations defined on vector spaces and eigenvalues and eigenvector of a matrix, symmetric and skew-symmetric matrices.
Explain diagonalizable matrices, their applications and the inner product, and the norm of vectors and matrices.
Skills you will gain
