Linear Algebra for Data Science & Machine Learning A-Z 2025
Linear Algebra for Data Science, Big Data, Machine Learning, Engineering & Computer Science. Master Linear Algebra
4.71 (787 reviews)
4,946
students
18 hours
content
Feb 2025
last update
$99.99
regular price
What you will learn
Fundamentals of Linear Algebra and how to ace your Linear Algebra exam
Basics of matrices (notation, dimensions, types, addressing the entries etc.)
Operations on a single matrix, e.g. scalar multiplication, transpose, determinant & adjoint
Operations on two matrices, including addition, subtraction and multiplication of matrices
Performing elementary row operations and finding Echelon Forms (REF & RREF)
Inverses, including invertible and singular matrices, and the Cofactor method
Solving systems of linear equations using matrices and inverse matrices, including Cramer’s rule to solve AX = B
Properties of determinants, and how to perform Gauss-Jordan elimination
Matrices as vectors, including vector addition and subtraction, Head-to-Tail rule, components, magnitude and midpoint of a vector
Vector spaces, including dimensions, Euclidean spaces, closure properties and axioms
Linear combinations and span, spanning set for a vector space and linear dependence
Subspace and Null-space of a matrix, matrix-vector products
Basis and standard basis, and checking if a set of given vectors forms the basis for a vector space
Eigenvalues and Eigenvectors, including how to find Eigenvalues and the corresponding Eigenvectors
Basic algebra concepts ( as a BONUS)
And so much more…..
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1568464
udemy ID
2/24/2018
course created date
10/14/2019
course indexed date
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