Skills you'll gain

There are 5 modules in this course

Since we're aiming at data-driven applications, we'll be implementing some of these ideas in code, not just on pencil and paper. Towards the end of the course, you'll write code blocks and encounter Jupyter notebooks in Python, but don't worry, these will be quite short, focussed on the concepts, and will guide you through if you’ve not coded before. At the end of this course you will have an intuitive understanding of vectors and matrices that will help you bridge the gap into linear algebra problems, and how to apply these concepts to machine learning.

Vectors are objects that move around space

Matrices in Linear Algebra: Objects that operate on Vectors

Matrices make linear mappings

Eigenvalues and Eigenvectors: Application to Data Problems

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