Linear Transformations

Sort options

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

Mar 25th 2024
Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors (Coursera)
Course Auditing
Categories
Effort
Languages
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 [...]

Linear Algebra: Linear Systems and Matrix Equations (Coursera)

Mar 25th 2024
Linear Algebra: Linear Systems and Matrix Equations (Coursera)
Course Auditing
Categories
Effort
Languages
This is the first course of a three course specialization that introduces the students to the concepts of linear algebra, one of the most important and basic areas of mathematics, with many real-life applications. This foundational material provides both theory and applications for topics in mathematics, engineering and [...]

Linear Algebra for Machine Learning and Data Science (Coursera)

Mar 25th 2024
Linear Algebra for Machine Learning and Data Science (Coursera)
Course Auditing
Categories
Effort
Languages
After completing this course, learners will be able to: represent data as vectors and matrices and identify their properties using concepts of singularity, rank, and linear independence, etc.; apply common vector and matrix algebra operations like dot product, inverse, and determinants; express certain types of matrix operations as linear [...]

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
Categories
Effort
Languages
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.