Artificial Intelligence & Machine Learning - Module

The module covers what is meant by learning from data and using patterns in data to learn from it as long as we have enough data from which to learn. The module will look at how to learn from data, using basic techniques and trialling them on data sets, and will look at algorithms to make machine learning better.

Award: University Certificate of Study

Subjects taught

Artificial Intelligence & Machine Learning CE6002

The module will cover the following areas

The learning problem: feasibility of learning, error, and noise
Theory of generalization: Effective number of hypotheses, VC bound, sample and model complexity, approximation-generalization trade-off, bias and variance
Linear classification and regression, logistic regression, gradient descent, and feature space transformations
Overfitting and regularisation
Validation and model selection, data snooping
Neural Networks: Perceptron's, Multi-Layer Perceptron's and the Back-Propagation training algorithm.
Optimal Margin Classifiers and Support Vector Machines.
Parametric vs. Non-Parametric classifiers.

Entry requirements

Applicants must have a minimum Level 8 honours degree, at minimum second class honours (NFQ or other internationally recognised equivalent), in a relevant engineering, computing, mathematics, science or technology discipline, or a Level 8 Honours degree in other disciplines, which has a significant mathematics and computing element

Successful completion of this module does not automatically qualify you for entry into a further award. All programme applicants must meet the entry requirements listed if applying for a further award.

Application dates

Please ensure you enter the Module Code below when applying for this Micro Cred. Applications without this cannot be processed.

You may apply for more than one Micro Cred under the same application.

Duration

7 weeks part-time.

Post Course Info

This micro-credential represents a single module within a larger further award (e.g., Certificate, Diploma, Masters). By taking this micro-credential you may be eligible to apply for a credit exemption should you progress to study for a further award.