Mathematics for Machine Learning: Linear Algebra

Linear Algebra is a course that will teach you what linear algebra looks like and how it connects with vectors or matrixes. Next we'll look at vectors and matrixes, their functions, and the tricky issue of eigenvalues. We will then discuss how to use them in solving problems. Then, we will discuss how they can be used to have fun with datasets such as how to rotate faces and extract eigenvectors to see how the Pagerank algorithm operates.

As we aim for data-driven apps, we will be using code to implement some ideas. This course will introduce you to Jupyter notebooks as well as code blocks in Python. These will not be long and will focus on the concepts. They will also help you if your code is new. This course will help you to understand vectors and matrixes. This course will help you bridge the gap between machine learning and linear algebra.