Demonstrating the motivation, methods, and results of our final project, speech emotion recognition.
We reflect on our learning, engagement, and achievement over the course of the semester.
Classify music by genre using neural networks in PyTorch.
What I have learned from Dr. Timnit Gebru’s talk and visit.
We reflect on our learning, engagement, and achievement in the first part of the semester.
Creating a machine learning model to predict an individual characteristic based on demographic variables and performing a bias audit on the model.
Implementing linear regression.
Classifying Palmer penguins.
Implementing logistic degression with gradient descent.
We plan our goals for learning, engagement, and achievement over the course of the semester.
Implementing the perceptron algorithm using numerical programming and demonstrating its use on synthetic data sets.