Become a Linear Algebra Master

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\$9.99 Coupon code for Become a Linear Algebra Master Udemy Course. This is an exclusive discount coupon from the course instructor, it will be active for few days. Check ENROLL NOW button to get a maximum discount. We manually verified coupon code on July 16th, 2024 .
Learn everything from Linear Algebra, then test your knowledge with 400+ practice questions

Instructed by Krista King 15 hours on-demand video, 98 article, 171 downloadable resources.

What you’ll learn

• Operations on one matrix, including solving linear systems, and Gauss-Jordan elimination
• Operations on two matrices, including matrix multiplication and elimination matrices
• Matrices as vectors, including linear combinations and span, linear independence, and subspaces
• Dot products and cross products, including the Cauchy-Schwarz and vector triangle inequalities
• Matrix-vector products, including the null and column spaces, and solving Ax=b
• Transformations, including linear transformations, projections, and composition of transformations
• Inverses, including invertible and singular matrices, and solving systems with inverse matrices
• Determinants, including upper and lower triangular matrices, and Cramer’s rule
• Transposes, including their determinants, and the null (left null) and column (row) spaces of the transpose
• Orthogonality and change of basis, including orthogonal complements, projections onto a subspace, least squares, and changing the basis
• Orthonormal bases and Gram-Schmidt, including definition of the orthonormal basis, and converting to an orthonormal basis with the Gram-Schmidt process
• Eigenvalues and Eigenvectors, including finding eigenvalues and their associate eigenvectors and eigenspaces, and eigen in three dimensions

Who this course is for:

• Current Linear Algebra students, or students about to start Linear Algebra who are looking to get ahead
• Anyone who wants to study math for fun after being away from school for a while
• Anyone who needs Linear Algebra as a prerequisite for Machine Learning, Deep Learning, Artificial

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