Course
- CS692 Seminar: Systems for Machine Learning, Machine Learning for Systems [GitHub]
- Topics in Networks: Machine Learning for Networking and Systems, Autumn 2019 [Course Website]
- CS6465: Emerging Cloud Technologies and Systems Challenges [Cornell]
- CS294: AI For Systems and Systems For AI. [UC Berkeley Spring] (Strong Recommendation) [Machine Learning Systems (Fall 2019)]
- CSE 599W: System for ML. [Chen Tianqi] [University of Washington]
- EECS 598: Systems for AI (W'21). [Mosharaf Chowdhury] [Systems for AI (W'21)]
- Tutorial code on how to build your own Deep Learning System in 2k Lines [GitHub]
- CSE 291F: Advanced Data Analytics and ML Systems. [UCSD]
- CSci 8980: Machine Learning in Computer Systems [University of Minnesota, Twin Cities]
- Mu Li (MxNet, Parameter Server): Introduction to Deep Learning [Best DL Course I think] [Book]
- 10-605: Machine Learning with Large Datasets. [CMU]
- CS 329S: Machine Learning Systems Design. [Stanford]