YouTube Linear Algebra Courses List

Linear Algebra is a course that covers topics such as systems of linear equations, solving systems of linear equations in augmented matrices using row operations, row reduction and echelon forms, and solution sets. It also covers topics such as vector spaces, linear transformations, and matrices. View all

This course covers topics in linear algebra and ordinary differential equations, including first-order equations, second-order equations, and higher-order equations. It also covers topics such as linear systems, eigenvalues and eigenvectors, and numerical methods. The course provides an introduction to the mathematical tools used to solve engineering problems. View all

This course introduces the fundamentals of linear algebra, including vector addition, subtraction, multiplication by a scalar, and the length of vectors in two and three dimensions. Students will learn how to calculate the length of a vector in two dimensions, as well as how to add, subtract, and multiply vectors with three components. The course also covers the length of a vector in three dimensions. View all

Matrix equations can be solved using a TI 84+ calculator. Matrix division is possible, and equations can be solved in one or two steps using matrix multiplication. This method is useful for solving systems of equations with three variables. View all

This course covers the fundamentals of linear algebra, including matrices, elements, transpose, n-tuples, and matrix arithmetic. It also covers matrix multiplication, inverse matrices, and determinants. Students will gain an understanding of the basic principles of linear algebra and how to apply them to solve problems. View all

This course covers the fundamentals of linear algebra, focusing on transformation matrices for scaling, rotation, and translation. It also covers the rank of a matrix and how to calculate it. Students will gain an understanding of how to use linear algebra to solve problems in mathematics and other fields. View all

This mathematics vlog introduces linear algebra, covering topics such as systems of linear equations, matrix addition, matrix multiplication, vector addition, and vector multiplication. It explains how to solve systems of linear equations with infinite and no solutions, as well as how to use elementary row operations. View all

This course covers advanced matrix theory and linear algebra for engineers. It begins with a discussion of Singular Value Decomposition (SVD) Part 1, followed by a review of linear systems in Parts 1 and 2. The course concludes with an epilogue. Students will gain an understanding of SVD and linear systems, and how they can be applied to engineering problems. View all

This course provides an overview of eigenvalue inequalities for symmetric matrices. It covers topics such as Courant Fischer Min Max Theorems, Weyl's Theorem, Gershgorin Circle Theorem, and more. It is designed to help students understand the fundamentals of eigenvalue inequalities and how they can be applied to solve problems. View all

This course covers the basics of linear relationships, including plotting and locating points on the number plane, as well as transformations such as translation. Students will learn how to read coordinates and use them to plot points, as well as how to apply transformations to the number plane. View all

This course covers the fundamentals of linear algebra and least squares approximation. It begins with an introduction to linear algebra and the fundamental theorem. It then moves on to fitting data to a straight curve, including linear regression and polynomial regression. Finally, it covers the application of least squares approximation to solve problems. View all

Linear Algebra is a branch of mathematics that deals with scalars and vectors and their practical applications in Machine Learning. This tutorial provides an overview of how to add two vectors and how to use linear algebra in ML. It also explains the importance of scalars and vectors in ML and how they can be used to solve complex problems. View all

This course provides an introduction to modern linear algebra using Python instead of a textbook. It covers topics such as matrices in Python using sympy, matrix arithmetic, LU decomposition, inverse of a matrix, and null space of a matrix. It also includes a tutorial on ordinary least squares. Students will gain a comprehensive understanding of linear algebra and its applications in Python. View all

This advanced linear algebra course covers the fundamental theorem of least squares approximation and how to fit data to a straight curve. It also covers the concept of linear regression and how to use it to solve problems. The course provides a comprehensive overview of the topics and provides a solid foundation for further study. View all

This course introduces learners to linear programming, a mathematical technique used to solve manufacturing problems. Learners will use linear algebra and the graphing method on paper to maximize contribution margin, given a set of constraints. Parameters, decision variables, and objective functions are discussed, as well as the graphical solution process. View all

This course introduces students to the basics of Math4ML Exercises, including how to set up the notebook and use the Autograder. It also covers the fundamentals of linear algebra, such as array shapes and dimension counting. Students will gain an understanding of how linear algebra is similar to programming, and how to apply it to machine learning. View all

Linear Algebra is an important tool for Machine Learning, as it allows for the representation of linear functions using arrays. This course provides an introduction to the fundamentals of linear algebra, and how it can be used to optimize functions. It also covers the concept of refactoring, which is the process of restructuring code for improved performance. View all

This course covers the fundamentals of linear algebra and its application to machine learning. It introduces linear algebra as a programming language and provides exercises to help students understand the concepts. Exercises include shape-checking as type-checking, composing two and four matrices, and using matrix multiplication as a for loop. The course also provides an introduction to linear algebra libraries and how to use them. View all

Explore the essentials of Mathematics for Machine Learning View all

Explore the essentials of Linear Algebra View all

Get a comprehensive overview of Basic Linear Algebra View all

Gain an introduction to Linear Algebra View all

Gain an introduction to MIT A 2020 Vision of Linear Algebra Spring 2020 View all

Learn the basics of Linear Algebra View all

Explore the essentials of Applied Linear Algebra View all

Gain an introduction to Linear Algebra View all

Learn the basics of Advanced Matrix Theory and Linear Algebra for Engineers View all

Learn the basics of Learn Algebra View all

Discover the fundamentals of Linear Algebra View all

Gain an introduction to Linear Algebra View all

Learn the basics of Linear algebra (English) View all

Explore the essentials of Linear Algebra View all

Get a comprehensive overview of Linear Algebra View all

Learn the basics of Linear Algebra View all

Gain an introduction to Linear Equations - Algebra View all

Get a comprehensive overview of Linear Algebra View all

Get a comprehensive overview of Linear algebra for Quantum Mechanics View all

Learn the basics of Mathematics for Machine Learning - Linear Algebra - Full Online Specialism View all

Explore the essentials of Linear Algebra Full Course for Beginners to Experts View all

Get a comprehensive overview of Linear Transformations View all

Get a comprehensive overview of Linear Algebra for Beginners View all