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 1: Models for Regression

Day 1: Introduction to the Course

Day 2: Introduction to Machine Learning

Topic 1: Introduction to Machine Learning and Data Science

Topic 2: Linear Regression

Topic 3: Linear Regression

In-class Exercise: Linear and Polynomial Regression

Day 3: Models for Regression

Topic 1: Probabilistic Models for Regression

Topic 2: Non-Probabilistic Models for Regression

Topic 3: k-Nearest Neighbor Regression

In-class Exercise: Probabilistic Models and Non-Probabilistic Models for Regression

Day 4: Model Confidence and Uncertainty

Topic 1: Confidence and Prediction Intervals

Topic 2: Bias versus Variance

Topic 3: Variance Reduction

In-Class Exercise: Generalization and Uncertainty