The course is aimed at IT professionals in employment in the Republic of Ireland registered companies. To qualify for direct entry they must have a Level 8 Honours Degree (2.2) or higher in Computer Science, Computing, Computer Applications or a related discipline. Applicants without these entry requirements (e.g., Level 7 degree or lower than an Honours 2.2 in a Level 8 degree) may be considered if they can demonstrate previously obtained competence equivalent to the entry requirements.

It is important to understand and assess the suitability of machine learning techniques for use with your data.

The suitability of many techniques used in machine learning relies on several assumptions which are not always adhered to. The implications of understanding how these techniques estimate the weights in the various models is significant when concluding the results.

In this course, you will examine the Generalised Linear Model (GLM). GLMs can be very useful as we can apply the concepts learned in linear regression to variables that come from the exponential family such as counts or binary variables.

In this course we will look at how GLMs can be used, with concepts that we learned earlier in Linear regression for variables that come from the exponential family of distributions.

On completion of this course, you will be able to recognise if a GLM is appropriate for your particular model and if so what family and link functions should be used.