Scaled ML 2017 Slides and Pictures

Scaled ML 2017 was a successful unveiling of Matroid, bringing together industry leaders and academics under one roof. Pictures and slides follow.

Speaker Slides

• Jeff Dean (Google)

  Scaled Machine Learning with TensorFlow and XLA

  

• Reza Zadeh (Matroid and Stanford)

  Scaling Computer Vision at Matroid

  

• Ion Stoica (UC Berkeley and Databricks)

  Distributed Machine Learning and the Berkeley RISE lab

  

• Wes McKinney (Two Sigma)

  Memory Interoperability in Analytics and Machine Learning

  

• David Ku (Microsoft)

  Scaled Machine Learning at Microsoft

  

• Claudia Perlich (Dstillery)

  

• Andy Feng (Yahoo)

  TensorFlow on Apache Spark

  

• Matei Zaharia (Stanford)

  DAWN: Infrastructure for usable Machine Learning

  

• Ilya Sutskever (OpenAI)

  Evolution Strategies: a scalable alternative to reinforcement learning.