10-301 + 10-601, Spring 2020

School of Computer Science

Carnegie Mellon University

There will be 9 homework assignments during the semester in addition to the exams. The assignments will consist of both theoretical and programming problems. Homework assignments will be released via a Piazza announcement explaining where to find the handout, starter code, LaTeX template, etc.

- Homework 1: Background Material (written / programming)
- Homework 2: Decision Trees (written / programming)
- Homework 3: KNN, Perceptron, Linear Regression (written)
- Homework 4: Logistic Regression (written / programming)
- Homework 5: Neural Networks (written / programming)
- Homework 6: Generative Models (written)
- Homework 7: Hidden Markov Models (written / programming)
- Homework 8: Reinforcement Learning (written / programming)
- Homework 9: SVMs, K-Means, PCA, Boosting (written)