Machine Learning and Computation Statistics


This is a teaching partnership between the Africa Center of Excellence in Data Science at the University of Rwanda and the Institute of Applied Computational Science at Harvard University.

View the Project on GitHub onefishy/Rwanda-Data-Science

Week 4: Latent Variable Model

Day 1: Bayesian Models for Ordinal Data

Topic 1: Beta-Binomial Model for Count Data

Topic 2: Poisson-Gamma Model for Count Data

In-Class Exercise: The Beta-Binomial Model

Day 2: Latent Variable Models

Topic 1: Latent Variable Models

Topic 2: Expectation Maximization

Topic 3: Topic Models

In-class Exercise: Nonnegative Matrix Factorization Topic Models

Day 3: More Latent Variable Models

Topic 1: Gaussian Mixture Models

Topic 2: Non-Probabilistic Models for Clustering

In-class Exercise: Clustering Algorithms

Day 4: More on Deep Models

Topic 1: Convolutional Neural Networks for Image Data

In-Class Exercise: Convolutional Neural Network Classifiers