Machine Learning and Statistics


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

Learning Outcomes

  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.

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