BSc Specialization - Machine Learning
DATA 3006 Machine Learning
Prerequisites:
DATA 1006,
COSC 1567,
COSC 2006,
COSC 2116,
MATH 2036,
MATH 2037,
MATH 1056,
MATH 1046 and
MATH 2076
Hours:
Two hours of lecture and one hour of lab per week
Credits:
3
Description:
Students learn the main machine learning technologies and tools used in data science and data analytics, including clustering, decision trees, recurrent and convolutional neural networks, support vector machines, Bayesian learning, reinforcement learning. Students explore and apply methods from computational intelligence through a variety of applications and solutions to problems in data science and data analytics.