320513 Machine Learning6cp; Forms of attendance and mode of delivery in this subject have changed to enable social distancing and reduce the risks of spreading COVID-19 in our community.
Requisite(s): 260776 Foundation of Business Analytics AND 260777 Data Processing Using SAS AND 570100 Data Ethics and Regulation AND 12 credit points of completed study in spk(s): CBK91894 12cp Foundation Option (Business Analytics)
These requisites may not apply to students in certain courses.
There are course requisites for this subject. See access conditions.
Recommended studies: knowledge of database technologies
This subject introduces the essential elements of machine learning - a technique that enables a machine to learn from data and automatically derive or enhance its strategy to perform its tasks. Taking a research-inspired approach, Machine Learning guides learners to the basic principles that underlies the highly successful statistical learning approach with hands-on experience.
Machine Learning presents learners with core concepts in machine learning as well as a generic framework. Basic learning models, including decision trees and linear families, demonstrate the theory of machine learning. These models are also widely applied in real-world applications.
Detailed subject description.