Machine Learning 1
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Module overview
Machine learning algorithms are new generation algorithms and used in conjunction with classical predictive modelling methods. In the machine learning unit you will understand applications of various machine learning techniques including the Naïve Bayes Method, Support Vector Machine Algorithm, Decision Tree, Random Forest, Association Rules and Neural Networks.
assessment requirments
In order to complete this module successfully you will need to
- Attend the scheduled live classes (or view the recorded session)
- Watch all learning content on the platform
- Complete all topic assignments
- Submit case study answers
- Pass the module exam with a minimum grade of 50%
