Machine Learning and Statistics

An introduction to machine learning and the statistical aspects surrounding the theory.

1. Describe the stochastic nature of real-world measurements.

2. Select an appropriate mathematical model of a real-world problem.

3. Select an appropriate cost function for a given machine learning task.

4. Apply an optimisation technique to the parameters of a model.