An introduction to machine learning and data modelling in the context of data analysis.
Source documentation to use machine learning libraries and packages in computer programs.
Pre-process a data set for use in a machine learning context.
Select an appropriate mathematical model of a real-world problem.
Select an appropriate cost function for a given machine learning task.
Apply an optimisation technique to the parameters of a model.
Use a trained model to make a prediction.