COMP 3032 Machine Learning
COMP 3032 Machine Learning (10 Credit Points)
Subject Details Legacy Code: 301435
Machine Learning is one of the most important technologies in the fields of Artificial Intelligence and Data Science used to explain large datasets, inform decisions and highlight risks. Machine Learning is relevant for solving a range of problems in many industries dealing with significant amounts of information and the structure of that information. In this unit, students put Machine Learning theory into action through widely used algorithms and practical applications for designing, training, and evaluating common learning models and systems. Students use Python programming and, as a result, learn about its important machine learning libraries and packages, such as Scikit-Learn, Keras and TensorFlow for solving practical problems and tasks.
Level: Undergraduate Level 3 subject
Pre-requisite(s): MATH 1028 OR MATH 1033 OR COMP 1014 OR MATH 1003 OR MATH 1030
AND
COMP 1005 OR MATH 1002 OR COMP 3002
AND
COMP 1005 OR MATH 1002 OR COMP 3002
Restrictions: Please see the Subject Details page for any restrictions for this subject
