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Introduction to Linear Algebra (Coursera)

Mar 4th 2024
Introduction to Linear Algebra (Coursera)
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Linear algebra and calculus are the two most important foundational pillars on which modern mathematics is built. They are studied by almost all mathematics students at university, though typically labelled as different subjects and taught in parallel. Over time, students discover that linear algebra and calculus are inseparable (but [...]

Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors (Coursera)

Feb 26th 2024
Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors (Coursera)
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This course is the second course in the Linear Algebra Specialization. In this course, we continue to develop the techniques and theory to study matrices as special linear transformations (functions) on vectors. In particular, we develop techniques to manipulate matrices algebraically. This will allow us to better analyze and [...]

Mathematics for Machine Learning: Linear Algebra (Coursera)

In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices. Then we look through what vectors and matrices are and how to work with them, including the knotty problem of eigenvalues and eigenvectors, and how to use these [...]

Linear Algebra III: Determinants and Eigenvalues (edX)

This course takes you through roughly three weeks of MATH 1554, Linear Algebra, as taught in the School of Mathematics at The Georgia Institute of Technology. At the beginning of this course we introduce the determinant, which yields two important concepts that you will use in this course.

Mathematical Techniques for Problem Solving in Engineering and Science (edX)

Learn fundamental mathematical techniques from Linear Algebra and Calculus used in STEM domains, critically reflect on these through pertinent examples, and practice the concepts with the use of applets and exercises.

Linear Algebra II: Matrices and Linear Transformations (edX)

This course provides an overview of bachelor-level linear algebra. You will review all the concepts and practice and refresh the skills related to matrices and linear transformations. A strong foundation in mathematics is critical for success in all science and engineering disciplines. Whether you want to make a strong [...]

Eigenvectors and Eigenvalues (Udacity)

Self Paced
Eigenvectors and Eigenvalues (Udacity)
Free Course
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Concepts in Linear Algebra. One of the most interesting topics to visualize in Linear Algebra are Eigenvectors and Eigenvalues. Here you will learn how to easily calculate them and how they are applicable and particularly interesting when it comes to machine learning implementations.

Advanced Linear Algebra: Foundations to Frontiers (edX)

Learn advanced linear algebra for computing. Linear algebra is one of the fundamental tools for computational and data scientists. In Advanced Linear Algebra: Foundations to Frontiers (ALAFF), you will build your knowledge, understanding, and skills in linear algebra, practical algorithms for matrix computations, and the analysis of the effects [...]

Valores Próprios (IST)

Curso sobre valores próprios e vetores próprios que assenta na análise deste conceito de Álgebra Linear no contexto de transformações lineares, sistemas dinâmicos e outros modelos. No curso serão ainda bordados valores singulares. Neste curso sobre valores próprios (va.p) e vetores próprios (ve.p.) damos especial atenção às várias aplicações [...]