The Right Mix of Theory and Hands-on Work The workshop is agnostic and features the best open source Python libraries (Pandas, scikit-learn, SKLL), APIs and ML-as-a-Service platforms (Microsoft Azure ML & Cortana Intelligence Suite, Amazon ML, BigML) for developers getting started in Machine Learning. It focuses on only two learning techniques, which turn out to […]
Data Science Champions Conference A conference is being organised by the EU-funded EDISON project on the Data Science profession in Europe. This conference is being organised to address the urgent need to significantly increase the number of Data Science professionals in Europe. This conference is dedicated to inviting delegates who are leading practitioners and researchers in the […]
One of our ambassadors, Dr Joseph Dureau of Snips, discusses a study that his organisation worked on related to utilising location in places where location tracking becomes very difficult e.g. on a metro. Using context awareness, a field within artificial intelligence, user locations can be tracked. A summary of the story can be found below […]
EDSA has launched a new course on Big Data Analytics. The course has been produced by Fraunhofer and provides an overview of approaches facilitating data analytics on huge datasets. Different strategies are presented including sampling to make classical analytics tools amenable for big datasets, analytics tools that can be applied in the batch or the speed […]
The European Data Science Academy are due to launch the next course on the FutureLearn platform: Processing Mining with ProM on July 11th 2016. The course utilises the free and open source process mining framework (ProM) to analyse, visualise and manage a range of business processes. Process mining is a new and exciting field which […]
The EDSA project have started to collate videolectures on data science related topics in order to further data science learners’ knowledge in the respective fields. Videolectures will be collated on a monthly basis an distributed through https://edsa-project.eu/video-lectures/. The lectures are selected by the EDSA project partners based upon their relevance to data science education and training around the […]
The European Data Science Academy has developed a series of core values associated with the project that enables learners, educators and trainers to increase their knowledge on the aims and practices of the EDSA project. The values will be utilised to develop and implement an EDSA course endorsement process, which will enable us to promote […]
Last year the Open Data Institute (ODI), one of the key EDSA partners, launched the ‘Open Data Science‘ course, which is a key deliverable of the project. Dr Tarrant, trainer at the ODI, says that “A key aspect of data science is all about culture – about innovating openly and in a team environment. Individual organisations […]
The courses offered by the EDSA Online Courses portal are now exposed via OAI-PMH 2.0. The Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) offers a simple technical option for catalogue and repository services to make their metadata available to other services, based on the HTTP and XML standards, resulting in facilitated discovery of distributed resources. In this way […]
A report entitled: The Big Data Dilemma, launched by the Science and Technology Committee, contains many contributions from two of our key partners, the Open University (OU) and the Open Data Institute (ODI). The value of big data has brought with it many benefits, including increasing the GDP by 2.3%, but also many concerns regarding its […]