– Learn what you can do with vectors, such as finding the modulus, angle between vectors, and projections of one vector onto another – Learn how to implement some of the ideas into data-driven applications with linear algebra – Have a look at fun things like how to extract eigenvectors, how to rotate images of faces, and look at how the PageRank algorithms work Check out our take on Best Machine Learning Certification Courses. After ending this course, you will have a deep understanding of vectors and matrices that will help you fill the gap into linear algebra problems. The course is created by expert instructors of Imperial College of London, who have been providing Linear Algebra training to multiple individuals around the world. After gaining a basic knowledge of linear algebra, you will learn about vectors and matrices, and how to work with them. It is an introductory course that will help you learn what linear algebra is and how it relates to vectors and matrices. Individuals who are curious to learn how to use Linear Algebra in machine learning can take help from this course. Mathematics for Machine Learning by Imperial College London (Coursera) Mathematics for Machine Learning by Imperial College London (Coursera).
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