Continuous Distributions: Beta and Dirichlet Distributions

Machine Learning: Multiclass Classification

Understanding Word2Vec

Dirichlet Process Mixture Models and Gibbs Sampling

Machine Learning: Variational Inference

Computational Linguistics I: Python and Probability

Continuous Distributions: Beta and Dirichlet Distributions

Topic Models

Introduction to Computational Linguistics

Topic Models: Introduction

Topic Models: Gibbs Sampling (13c)

Linear Perceptron Example

Machine Learning: Ranking