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Course Information
The goal of this course is to provide students an understanding and overview of elements in modern machine learning systems. Throughout the course, the students will learn about the design rationale behind the state-of-the-art machine learning frameworks and advanced system techniques to scale, reduce memory, and offload heterogeneous compute resources. For this semester, we will also run case studies on modern large language model (LLM) training and serving systems used in practice today. This course offers the necessary background for students who would like to pursue research in the area of machine learning systems or continue to take a job in machine learning engineering.
- Lectures: Monday/Wednesday 3:30pm - 4:50pm.
- Office Hours: Check the time below.
- Announcement or Discussion: Piazza
- Submitting your work: Gradescope
- Contact: Please make a private post in Piazza
- Instructor: Tianqi Chen
- Office hours: upon request
- TA: Bohan Hou
- Office hours: Tuesdays 10-11am, GHC 8228
- TA: Ruihang Lai
- Office hours: Thursdays 5-6pm, GHC 7501
- TA: Zhihao Zhang
- Office hours: Fridays 12-1pm, GHC 8228
- TA: Mengdi Wu
- Office hours: Wednesdays 10-11am, GHC 8228