AI ML Systems
Software Engineering Institute | Carnegie Mellon University
Predicting Inference Degradation in Production ML Systems
Design and Productionization of Low Latency ML systems | Live Session | Applied AI Course
Maroun Semaan Faculty of Engineering and Architect
Why ML Systems Matter | Mark Saroufim (Meta) on PyTorch, GPUs & Community
Critical perspectives on emerging technologies #datascience #AI #datascienceJournal #MLsystems
Reproducibility and versioning of ML systems | Spela Poklukar | DSC Europe 2022
Software Engineering Institute | Carnegie Mellon University
Software Engineering for Machine Learning: Characterizing and Understanding Mismatch in ML Systems
Building Malleable ML Systems through Measurement, Monitoring & Maintenance | apply() meetup 2021
Introducing ML systems in a highly regulated industry | Computer Vision Summit London 2022
Continuous Learning Systems: Building ML Systems that Learn from their Mistakes by Anuj Gupta #ODSC
UC Berkeley Center for Long-Term Cybersecurity
CLTC Research Exchange: Long-Term Security Implications of AI/ML Systems
02 MLOps How to build production grade ML systems on 300+ billion data points annually - Wish Bakshi