Dan Fu, Karan Goel, Fiodar Kazhamakia, Piero Molino, Matei Zaharia, Chris Ré
Stanford MLSys Seminar
Machine learning is driving exciting changes and progress in computing. What does the ubiquity of machine learning mean for how people build and deploy systems and applications? What challenges does industry face when deploying machine learning systems in the real world, and how can academia rise to meet those challenges? Updates every Monday and Friday - old episodes on Mondays, new episodes on Fridays! Check out our website and your YouTube channel for full videos! https://mlsys.stanford.edu/ https://www.youtube.com/channel/UCzz6ructab1U44QPI3HpZEQ
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Episodios recientes
Apr 27, 2022
#62 Dan Fu - Improving Transfer and Robustness of Supervised Contrastive Learning
57 mins
Apr 22, 2022
#61 Kexin Rong - Big Data Analytics
59 mins
Apr 11, 2022
#60 Igor Markov - Looper: An End-to-End ML Platform for Product Decisions
S7 E2 • 60 mins
Apr 4, 2022
#59 Zhuohan Li - Alpa: Automated Model-Parallel Deep Learning
S7 E1 • 55 mins
Mar 18, 2022
3/10/22 #58 Shruti Bhosale - Multilingual Machine Translation
S6 E10 • 58 mins