Homework 0.1 - Probability Theory

Homework 0.2 - Bayes Nets

Homework 0.3 - Bayes Nets #2

Homework 0.4 - Information Theory

Assignment 1.0 - Name or Document Classification: Naive Bayes

Assignment 2.0 - Document or Pixel Clustering

Assignment 3.0 - Latent Dirichlet Allocation

Project 2.2 - Proper Name Classification: Feature Engineering with Maximum Entropy Models

• Project 2.2 Tutorial

Project 3 - Part-of-Speech Tagging: Feature Engineering with Maximum Entropy Markov Models

• Project 3 Tutorial

Homework 4 - PCKY with Unary Non-termainal productions

Homework 5 - Worked example of EM for Word Alignment

Option 1: Project 4 - Parsing: PCKY Parser and PCFG Transformations

• Project 4 Tutorial

Option 2: Project 5 - Word Alignment Models for Machine Translation

• Project 5 Tutorial

Option 3: Project 6 - Propose Your Problem and Solution

• Project 0.2 Tutorial
• Project 1.1 - Language Modeling: Interpolation
• Project 1.1 Tutorial
• Project 1.2 - Language Modeling: Good-Turing Smoothing
• Project 1.2 Tutorial
• Project 2.1 Tutorial
• Project 3.2
• Project 3.2 Tutorial
• Project 4.2