First Two Chapters of "TensorFlow for Deep Learning" Released, head over to the O'Reilly website to download your copy. A PDF of the first two chapters is also available exlusively via Matroid here.
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 launched at Scaled ML 2017, and was covered by The Wall Street Journal, Bloomberg, TechCruch.
Come see what we've been up to, learn about leading deep learning cloud providers, and meet leading researchers in the area! More details at http://scaledml.org
Slides from the Matroid Scaled Machine Learning Conference held on Stanford campus.
An overview of the internals of Matroid presented at the Amazon Web Services annual conference.
Organized by Amazon and Matroid, the DEEM workshop will be held in conjunction with SIGMOD/PODS 2017 in Raleigh, North Carolina. DEEM aims to bring together researchers and practitioners at the intersection of applied machine learning, data management and systems research, with the goal to discuss the arising data management issues in ML application scenarios.
The FusionNet architecture will be presented at the NIPS 2016 workshop for 3D Deep Learning.
Our new Neural Network architecture named FusionNet is leading in the Princeton ModelNet challenge.
As Intel moves aggressively into Machine Learning, they have published an interview with Matroid.
