Matroid Press Coverage
Posted on June 24th, 2017 by Reza
Matroid has been covered by The Wall Street Journal, Bloomberg, MIT Technology Review, TechCrunch, BBC, Seattle Times, Register, CNBC, and many others.
Blog
Showing 11 to 20 of 37 posts.
Matroid presented at Fermilab Special Colloquium
Posted on May 29th, 2017 by Reza
Matroid was presented at the Fermilab special colloquium on May 9th. Slides and a video of the talk are available on the Fermilab lab colloquium page.
The Hard Thing about Deep Learning
Posted on November 16th, 2016 by Reza
In this post, I explore the “hardness” in optimizing neural networks and see what the theory has to say. In a nutshell: the deeper the network becomes, the harder the optimization problem becomes.
First Two Chapters of "TensorFlow for Deep Learning" Released
Posted on April 10th, 2017 by Reza
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.
Best Paper Award at KDD 2016 awarded to Matroid
Posted on July 27th, 2016 by Reza
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 launch featured in media
Posted on March 31st, 2017
Matroid launched at Scaled ML 2017, and was covered by The Wall Street Journal, Bloomberg, TechCruch.
Announcing Scaled Machine Learning 2017
Posted on January 28th, 2017 by Reza
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 ScaledML 2016
Posted on July 15th, 2016 by Reza
Slides from the Matroid Scaled Machine Learning Conference held on Stanford campus.
Scaling Convolutional Neural Networks with Kubernetes and TensorFlow
Posted on December 14th, 2017
An overview of the internals of Matroid presented at the Amazon Web Services annual conference.
Amazon & Matroid organize Machine Learning workshop at SIGMOD/PODS 2017
Posted on September 25th, 2016 by Reza
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.
