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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Episódios recentes

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

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