To Students: The course website is still under construction; please check back frequently and the content is subject to change, especially the schedule. D-clearance is managed by the CS department, not myself.

Overview: This course offers a comprehensive introduction to the principles of machine learning (ML) and deep learning (DL), emphasizing both mathematical foundations and practical applications. You will gain insights into basic ML techniques, learn knowledge of advanced DL applications in fields like computer vision and natural language processing, and understand their transformative impact on areas such as image recognition and autonomous systems. The course includes hands-on assignments and a customizable final project, providing you with practical experience in implementing ML and DL solutions.

Prerequisites: (1) Proficiency in Python (2) College Calculus, Linear Algebra, Probability and Statistics (3) (Recommended but not required) Equivalent knowledge of CSCI 567 (Machine Learning)

Basic logistics:

• Syllabus: Syllabus (USC login required; may not be updated as frequent as the website)
• Time: Fridays, 1:00pm-4:20pm PST
• Location: THH 201
• Discussion: Piazza
• Contact: Students should use Piazza for any course-related questions. For external inquiries, personal matters, or emergencies, you can email the CSCI 566 staff at usc.csci566@gmail.com. Please do not email any of the CSCI 566 staff individually.
• Guest Lectures: Industry and academic professionals will join our lectures regularly, sharing their experiences in ML and data science, and providing career insights.