Mathematics for Machine Learning

This repository contains the code for all the programming tasks of the Mathematics for Machine Learning courses taught at Coursera by Imperial College London:

Linear Algebra (link)

• Identifying Special Matrices
• Gram-Schmidt Process
• Reflecting Bear
• PageRank

Multivariate Calculus (link)

• The Sandpit
• The Sandpit 2
• Backpropagation
• Gradient descent in a sandpit
• Fitting the distribution of heights data

PCA (link)

• Mean/Covariance of a data set and effect of linear transformation
• Distances and Angles between Images along with KNN implementation
• Orthogonal Projections
• PCA

I’ve posted the answers here with the intent that it helps with debugging your own. I encourage you not to copy from the resources, but to understand why your code/answers might not have worked. The discussion forums are really helpful, and I recommend asking for help there before using the resources posted here.