Blog-like posts to help solidfy understanding of mathematical underpinnings of machine learning techniques as well as help other people that are trying to self-learn or just looking for another resource to grasp the concepts.

I'm open to suggestions on potentially changing somethings about my future posts. Just make a pull request and I'll review and we can have a discussion through that interface.

Overview: (Any post with a link below is viewable, content has been reviewed, some things need editing or need to be filled in but for the most part content is solid. Anything not listed below - proceed with caution)

Basis: https://github.com/hhprogram/BlogPosts/blob/master/Basis.ipynb
Regularization: https://github.com/hhprogram/BlogPosts/blob/master/RegularizationExtras.ipynb
SVD and PCA: https://github.com/hhprogram/BlogPosts/blob/master/SVD_and_PCA.ipynb
Covariance, Eigenvectors and Eigenvalues: https://github.com/hhprogram/BlogPosts/blob/master/Covariance_Eigenvalue_Eigenvectors.ipynb
Proof of Vector Derivatives Post: https://github.com/hhprogram/BlogPosts/blob/master/ProofOfVectorDerivatives.ipynb
Regression Post: https://github.com/hhprogram/BlogPosts/blob/master/Regression_Post.ipynb