8 posts found
Hot OSM: Collaborative mapping to coordinate emergency response
The humanitarian crisis following the earthquake in Haiti in 2010 was the starting point for a voluntary initiative to create maps to identify the level of damage and vulnerability by areas, and thus to coordinate emergency teams. Since then, the collaborative mapping project known as Hot OSM (OpenS…
When to use each programming language in data science?
Python, R, SQL, JavaScript, C++, HTML... Nowadays we can find a multitude of programming languages that allow us to develop software programmes, applications, web pages, etc. Each one has unique characteristics that differentiate it from the rest and make it more appropriate for certain tasks. But h…
10 Popular natural language processing libraries
The advance of supercomputing and data analytics in fields as diverse as social networks or customer service is encouraging a part of artificial intelligence (AI) to focus on developing algorithms capable of processing and generating natural language.
To be able to carry out this task in the current…
10 Popular Data Analytics and Machine Learning Libraries
Programming libraries refer to the sets of code files that have been created to develop software in a simple way . Thanks to them, developers can avoid code duplication and minimize errors with greater agility and lower cost. There are many bookstores, focused on different activities. A few weeks ag…
11 libraries for creating data visualisations
Programming libraries are sets of code files that are used to develop software. Their purpose is to facilitate programming by providing common functionalities that have already been solved by other programmers.
Libraries are an essential component for developers to be able to program in a simple way…
The UK data strategy and its reform
Just over a year ago - and after an extensive process of analysis, research and public consultation - the UK government announced its new national data strategy created in response to the increasingly important role of data in all aspects of our society. The strategy builds on other related initiati…
Formulas for accelerating data collaboration
After a period in which efforts were focused on releasing data, mainly from the public sector, in conditions in which it could be reused to create value in its different forms (economic, social, cultural, etc.), we are finding increasing activity around collaboration between organizations to solve b…
The ecosystem that nourishes open data
On too many occasions, open data initiatives are born in governments as purely technical projects whose purpose is simply creating a data catalog, when, in reality, they should be seen as collaborative transformation projects that take place within complex and variable environments, in which th…
