My Awesome Machine Learning Blog

Deep Music Genre Classification

In this blog post, I use PyTorch to perform classification on a data set of song attributes, comparing approaches that use only lyrics, approaches that use only quantitative audio features, and approaches that use both.

Unsupervised Learning with Linear Algebra

In this blog post, I implement and experiment with a simple ML approach for image compression.

Auditing Allocative Bias

In this blog post, I fit a classifier using data from folktables and perform a bias audit for the algorithm.

Implementing Linear Regression

In this blog post, I implement least-squares linear regression, and experiment with LASSO regularization for overparameterized problems.

Classifying Palmer Penguins

In this blog post, I work through a complete example of the standard machine learning workflow. My goal is to determine the smallest number of measurements necessary to confidently determine the species of a penguin.

Optimization for Logistic Regression

In this blog post, I implement a simple gradient descent, a momentum method, and stochastic gradient descent, comparing their performance for training logistic regression.

Perceptron

This blog post includes the implementation of my percepreon algorithm, experimentation with my algorithms, and descriptions of my findings.