Posted: 22 Feb 2019 | 16:09
Peeved with Python? Revolted by R? SAS make you sad? The Julia Language may be for you. Recently reaching version 1.0, Julia claims to be more than just another data science language.
In this post I’ll give a tour of some of the more interesting features of Julia, and its implementation.
Posted: 1 May 2018 | 16:21
The closing date for our Highly Skilled Workforce scholarships, open to Scottish and EU students, has been extended to May 28th. Scholarship applications should be made after completion of an MSc application. See https://www.ed.ac.uk/studying/postgraduate/applying/.
We also have a scholarship for the MSc in HPC with Data Science programme that is provided by the Registers of Scotland. The closing date is May 21st - see https://www.ed.ac.uk/student-funding/postgraduate/uk-eu/science-engineering/informatics/registers-of-scotland
Both the above have nationality restrictions - our own John Fisher scholarships are open to all. See https://www.ed.ac.uk/student-funding/postgraduate/uk-eu/science-engineering/informatics/masters-hpc
You can see details of both HPC Masters courses at the Computing and Informatics web page.
Posted: 5 Mar 2018 | 16:38
This is a very exciting time for the MSc in HPC programmes. Our current students are halfway through their second semester of courses and are already starting work on developing their dissertation projects, while EPCC staff are looking forward to our summer move into the new Bayes Building. Located in the University's central area, this move will strengthen our existing collaborations with the School of Informatics.
Posted: 13 Jul 2017 | 23:49
A team of students from EPCC's MSc programmes took part in this year's Student Cluster Competition at the International Supercomputing Conference (ISC) in Germany. The competition requires teams to design and configure a cluster on which they optimise and run benchmarks and applications within a power budget of 3000 watts.
Here Team EPCC and its coach Emmanouil Farsarakis tell us about their hard work and its rewards.
Posted: 29 Nov 2016 | 10:07
TensorFlow is an incredibly powerful new framework for deep learning. The “MNIST For ML Beginners” and “Deep MNIST for Experts” TensorFlow tutorials give an excellent introduction to the framework. This article acts as a follow-on tutorial which addresses the following issues:
- The above tutorials use the MNIST dataset of hand written numbers, which pre-exists in TensorFlow TFRecord format and is loaded automatically. This can be a bit mysterious if you have no experience of data format manipulation in TensorFlow.
- Since the MNIST dataset is fixed, there is little scope for experimentation through adjusting the images and network to get a feel for how to deal with particular aspects of real data.
Posted: 30 Jul 2014 | 16:11
The rise of data-driven science, the increasing digitisation of the research process, has spawned its own jargon and acronyms. “Research data infrastructure” is one such term, but what does it mean?
Posted: 30 Jun 2014 | 13:30