- Machine Learning
- Dimensionality Reduction
- Mathematical Modeling
- Applied Mathematics
- Data Preprocessing
- Python Programming
- Algebra
- Linear Algebra
- NumPy
- Advanced Mathematics
- Machine Learning Methods
- Data Manipulation
Linear Algebra for Machine Learning and Data Science
Completed by Aun Mohammad Kidwai
March 16, 2023
34 hours (approximately)
Aun Mohammad Kidwai's account is verified. Coursera certifies their successful completion of Linear Algebra for Machine Learning and Data Science
What you will learn
Represent data as vectors and matrices and identify their properties using concepts of singularity, rank, and linear independence
Apply common vector and matrix algebra operations like dot product, inverse, and determinants
Express certain types of matrix operations as linear transformation, and apply concepts of eigenvalues and eigenvectors to machine learning problems
Skills you will gain
