Staff Member #1
Biography of instructor/staff member #1
This course provides knowledge on core concepts in machine learning, successful applications in practice, traditional machine learning algorithms, their advantages and disadvantages, advanced topics, trends, and recommends powerful software frameworks and tools for the students' practice and use. Through a team-work course project, the students can get a practical experience on design, implementation and performance evaluation of a machine learning based system.
Prerequisite: None.
Prior course:
- IT3011E or IT3010E: Data Structures and Algorithms
- IT3160E: Introduction to Artificial Intelligence
Paralell course: None.
Biography of instructor/staff member #1
Biography of instructor/staff member #2
School of Information and Communication Technology
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