A valuable machine learning experience to analyze and predict housing prices.
Implementing the Adam optimizer and perform some simple experiments.
Guest Lecture: Eugenics and the Promise of Utopia through Artificial General Intelligence.
SVD as a machine learning approach for image compression.
Perform a fairness audit to assess bias with respect demographic characteristics like race or sex.
Implementing least-squares linear regression, and experimenting with LASSO regularization for overparameterized problems.
Determining the smallest number of measurements necessary to confidently determine the species of a penguin.
Implementing simple gradient descent, a momentum method, and stochastic gradient descent; comparing their performance for training logistic regression.
Implementing the perceptron algorithm using numerical programming, and demonstrating its use on synthetic data sets.
An example blog post illustrating the key techniques you’ll need to demonstrate your learning in CSCI 0451.
