With the rise of data science and big data fields, machine learning has gained further recognition as the key driver behind the successful advance of these fields. However, many recent entrants to the field can only utilize the variety of machine learning algorithms as black boxes. This course aims to empower students to effectively use and understand the primary approaches so as to be able to modify them for specific uses. Our focus is less on theory and more on practice. Students engage in hands-on implementation of some of the fundamental algorithms such as predictive modeling and clustering applied to real, open-ended problems. While most of the course focuses on machine learning, we also have a few lectures on text/data mining algorithms.
Department of Computing and Information Technology
Faculty of Science and Technology
Compulsory Fees: TTD 1,485.00/USD 219.00
Tuition Fees: TTD 3129.00
Pre-Requisites: STEM undergraduate degree/Working in field
Course Credits: 3
Assessment: Coursework 50%, Final Exam 50%
Duration: Lectures: January 20 to April 11, 2025
Lecture Time: TBA
For More Information, Contact: Dr. Duc Kieu dcit@sta.uwi.edu