A blog post on the final project of CS 0451
A blog post on some linear algebra methods for unsupervised learning for different kind of data
A blog post on the implementation of the Adam optimizer
A blog post on allocative bias in machine learning
A blog post on linear regression and some experiments involving modifications like the LASSO Regularization
A blog post on the Kernel Logistic Regression
A blog post on the optimization for Logistic Regression based on the gradient of functions
A blog post on the perceptron algorithm
An example blog post illustrating the key techniques you’ll need to demonstrate your learning in CSCI 0451.
