ENR 264 — ENR-264. Machine Learning. 3 Credits
LECT 15 hrs LAB 60 hrs This course provides a practical understanding and foundational principles of Machine Learning techniques. It offers the concepts, the intuitions, and the tools the students need to implement programs capable of learning from data. A large number of techniques are covered, from supervised learning algorithms, unsupervised learning algorithms to Deep Learning techniques and applications. The main goal of this course is to equip students with the skills to tackle real Machine Learning problems encountered in real life and business and establish a project portfolio. Prerequisites: MAT-114 AND CMP-131 , OR Equivalent AND Department Permission Additional Fees: Course fee applies.
Prerequisites: MAT 114, CMP 131