Spring 2021 Machine Learning (CS 181) Homework 5
Solutions contained in the
personal-solutions
folder
- Expecation-Maximization for a Categorical-Geometric Mixture model
- Apply Principal Components Analysis on image data and calculate the reconstruction error
- Conditional independence properties of a Bayesian Network
Implementation contained in the
code
folder
- Referred to as
T5_P1.py
in the specifications - Implements the Expectation-Maximization algorithm and tests the results on different sized samples from 3 components
- Referred to as
T5_P2.py
in the specifications - Performs Principal Components Analysis on MNIST data