This project blog post is a written description of what I achieved in my project and a reflection on what I learned.
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.
In this blog post, I will read about Dr.Gebru, watch her recorded talk, attended her talk at Middlebury on April 24th, and write a reflectionon her talk.
In this blog post, I implement and experiment with a simple ML approach for image compression.
In this blog post, I fit a classifier using data from folktables and perform a bias audit for the algorithm.
In this blog post, I implement least-squares linear regression, and experiment with LASSO regularization for overparameterized problems.
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.
In this blog post, I implement a simple gradient descent, a momentum method, and stochastic gradient descent, comparing their performance for training logistic regression.
This blog post includes the implementation of my percepreon algorithm, experimentation with my algorithms, and descriptions of my findings.
An example blog post illustrating the key techniques you’ll need to demonstrate your learning in CSCI 0451.
