Supervised Learning - Linear Models, K-Nearest Neighbours, Principles, Limitations and Validations

Supervised Learning - Support Vector Machines

Supervised Learning - Gaussian Processes, Measuring Model Performance, Reproducibility and Data Handling

Unsupervised Learning - Vector Quantisation

Machine Learning Overview and Foundation Mathematics