Machine Learning


An introduction to machine learning and data modelling in the context of data analysis.

Learning Outcomes

  1. Source documentation to use machine learning libraries and packages in computer programs.

  2. Pre-process a data set for use in a machine learning context.

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

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

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

  6. Use a trained model to make a prediction.

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