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Mathematics for Machine Learning: Linear Algebra

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 to solve problems. Finally we look at how to use these to do fun things with datasets - like how to rotate images of faces and how to extract eigenvectors to look at how the Pagerank algorithm works.

Created by Imperial College London


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What you’ll learn


In this learning opportunity you can gain confidence with the skills sought from organizations in 2021. The most in demand technique from the educational opportunity that is frequently included by companies is Product. The most in demand tool is Python. You will also learn about Applied Mathematics, a trait often mentioned in job advertisements.

Who will benefit?


Evaluating the description from this learning opportunity with nearly 10,000 data-related job advertisements, we find that those interested in Data Scientist roles would benefit the most.