Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK
Mathew Salvaris

Mathew Salvaris
Data Scientist, Microsoft

Mathew Salvaris is a data scientist at Microsoft. Previously, Mathew was a data scientist for a small startup that provided analytics for fund managers and a postdoctoral researcher at UCL’s Institute of Cognitive Neuroscience, where he worked with Patrick Haggard in the area of volition and free will, devising models to decode human decisions in real time from the motor cortex using electroencephalography (EEG), and a postdoctoral position at the University of Essex’s Brain Computer Interface group, where he worked on BCIs for computer mouse control. Mathew holds a PhD in brain computer interfaces and an MSc in distributed artificial intelligence.

Sessions

11:1511:55 Wednesday, 23 May 2018
Data science and machine learning
Location: Capital Suite 13 Level: Advanced
Mathew Salvaris (Microsoft), Miguel Gonzalez-Fierro (Microsoft), Ilia Karmanov (Microsoft)
In this talk we will present two platforms for running distributed deep learning training in the cloud. We will train a ResNet network on ImageNet dataset using some of the most popular deep learning frameworks. We will then compare and contrast the performance improvement as we scale the number of nodes as well as provides tips and details of the pitfalls of each framework and platform. Read more.