Lectures
Week 1: Probability and an Introduction to Jupyter, Python and Pandas
Week 2: The Data Science Process
Week 3: Objective Functions: A Simple Example with Matrix Factorisation
Week 4: Linear Algebra and Linear Regression
Week 5: Data and Machine Learning Systems
Week 6: Basis Functions
Week 7: Generalization: Model Validation
Week 8: Bayesian Regression
Week 9: Dimensionality Reduction: Latent Variable Modelling
Week 10: Probabilistic Classification: Naive Bayes
Week 11: Logistic Regression and GLMs
