Linear Algebra For Data Science

Learn Basics of Linear Algebra (Mathematics) for Artificial Intelligence, Machine Learning and Data Science

Vectors, Matrices, Solving Linear Equations, Factorization, Eigenvectors, Least Squares, SVD

Vectors, Matrices, Systems of Linear Equations, Factorization, Eigenvectors, Least Squares, SVD

This course introduces students to essential concepts of linear algebra and python

If you want to work in any computational or technical field, you need to understand linear algebra. As the study of matrices and operations acting upon them, linear algebra is the mathematical basis of nearly all algorithms and analyses implemented in computers. But the way it's presented in decades-old textbooks is much different from how professionals use linear algebra today to solve real-world modern applications.

Interested in increasing your Machine Learning, Deep Learning expertise by effectively applying the mathematical skills? Then, this course is for you. With the growing learners of Machine Learning, Data Science, and Deep Learning.