# Complete Linear Algebra for Data Science & Machine Learning by Kashif A. Contents

## Udemy course Complete Linear Algebra for Data Science & Machine Learning by Kashif A.

Complete Linear Algebra for Data Science & Machine Learning is the best Udemy course on the market. With this offer they will be able to greatly improve their knowledge and become more competitive within the Development category. Therefore, if you are looking to improve your Development skills we recommend that you download Complete Linear Algebra for Data Science & Machine Learning udemy course.

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Course data:

• Author: Kashif A.
• Course rating: 4.6
• Category: Development
• Modality: Online
• Status: Available
• Idiom: English

Kashif holds a Masters in Engineering from a top university in the US. He loves to teach, and has 11 years of university level teaching experience. ## What the udemy Complete Linear Algebra for Data Science & Machine Learning course teaches?

What you’ll 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….. Show more Show less

Linear Algebra for Data Science, Big Data, Machine Learning, Engineering & Computer Science. Master Linear Algebra