CS5487 - Machine Learning | ||||||||||
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| * The offering term is subject to change without prior notice | ||||||||||
Course Aims | ||||||||||
The goal of this course is to introduce students to the field of machine learning. Ma-chine learning algorithms allow computers to automatically learn to recognize complex patterns from empirical data, such as text and web documents, images, videos, sound, sensor-data, and databases. This course is intended to give a broad overview of machine learning from the practical standpoint, with a focus on designing and im-plementing machine learning algorithms for real-world problems. At the end of the course, students will have both working knowledge of and practical experience with machine learning algorithms, as well as a theoretical understanding of machine learn-ing concepts. | ||||||||||
Assessment (Indicative only, please check the detailed course information) | ||||||||||
Assignments: 40% Project: 30% Examination: 30% | ||||||||||
Examination Duration: 2 hours | ||||||||||
Detailed Course Information | ||||||||||
| CS5487.pdf | ||||||||||
Useful Links | ||||||||||
| Department of Computer Science | ||||||||||