Slides from ScaledML 2016
Slides from the Matroid Scaled Machine Learning Conference held on Stanford campus.

Slides from the Matroid Scaled Machine Learning Conference held on Stanford campus.
Leading a group of industry and academic contributors, Matroid receives the KDD 2016 Best Paper Award runner-up in the applied data science track.
Matroid is the leader in Princeton ModelNet competition for 3D model classification.
Matroid cited on the benefits of TensorFlow.
Reza is a consulting professor at Stanford, conducting research and teaching courses targeting doctorate students. He serves on the Technical Advisory Board of Microsoft and Databricks.
See more about Reza.
Pete is a General Partner at NEA, who he joined in 2005 focusing on early-stage enterprise software, services, and systems companies. He is the co-head of NEA’s enterprise software practice group.
See more about Pete.
Forest is a Venture Partner at NEA. Previously, he was CTO of SGI. Prior to that, he was a Professor of Computer Science at Stanford. He is a member of the National Academy of Engineering.
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Ion is Executive Chairman at Databricks, CTO at Conviva, and Professor of Computer Science at UC Berkeley, where he works on cloud computing, distributed systems, and networking.
See more about Ion.