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.
Course Schedule
Week 1
- Day 1: Introduction to Machine Learning
- Day 2: Regression Models
- Day 3: Probabilistic and Non-probabilistic Models for Regression
- Day 4: Model Generalization and Uncertainty
Week 2
- Day 5: Probabilistic Models for Classification
- Day 6: Non-probabilistic Models for Classification
- Day 7: Neural Networks for Regression
- Day 8: Neural Networks for Classification
Week 3
- Day 9: Model Comparison and Data Manipulation
- Day 10: Dimensionality Reduction
- Day 11: Bayesian Models for Regression
- Day 12: Bayesian Inference
Week 4
- Day 13: Bayesian Models of Various Data Types
- Day 14: Latent Variable Models
- Day 15: Latent Variable Models for Clustering
- Day 16: Deep Learning for Image Data
Week 5
- What’s Next?