Data Science Masterclass – Better, faster, more reproducible research with Microsoft Azure cloud computing
Date: 28 November 2016
Time: 11:30am – 12.30pm
Better, faster, more reproducible research with Microsoft Azure cloud computing – Kenji Takeda (Microsoft Research Limited)
Summary: Cloud computing allows researchers to quickly experiment, develop, and deploy compute and data-intensive applications at large-scale. Microsoft Azure is available to all Alan Turing Institute researchers, and includes support for Jupyter notebooks, big data analytics, machine learning, and any open-source application. It enables you to run large memory virtual desktops and take advantage of high performance computing, GPUs, and big data platforms, such as Spark and Hadoop, easily and without queuing behind other users. It is also ideal for sharing your work, and making research reproducible. This masterclass will provide an introduction to how Microsoft Azure can help with your research, and get you started – http://aka.ms/a4rguide We will also be running follow-up deep dive sessions on specific topics in the coming weeks.