12 posts found
Data policies that foster innovation
The importance of data in today's society and economy is no longer in doubt. Data is now present in virtually every aspect of our lives. This is why more and more countries have been incorporating specific data-related regulations into their policies: whether they relate to personal, busin…
Segment Anything Model: Key Insights from Meta's Segmentation Model Applied to Spatial Data
Image segmentation is a method that divides a digital image into subgroups (segments) to reduce its complexity, thus facilitating its processing or analysis. The purpose of segmentation is to assign labels to pixels to identify objects, people, or other elements in the image.
Image segmentation is c…
Open data as a tool for education and training
The demand for professionals with skills related to data analytics continues to grow and it is already estimated that just the industry in Spain would need more than 90,000 data and artificial intelligence professionals to boost the economy. Training professionals who can fill this gap is a major ch…
This is MarIA, the first artificial intelligence in the Spanish language
After several months of tests and different types of training, the first massive Artificial Intelligence system in the Spanish language is capable of generating its own texts and summarising existing ones. MarIA is a project that has been promoted by the Secretary of State for Digitalisation and Art…
Open data in transport and urban mobility research projects
Open data portals are experiencing a significant growth in the number of datasets being published in the transport and mobility category. For example, the EU's open data portal already has almost 48,000 datasets in the transport category or Spain's own portal datos.gob.es, which has around 2,000 dat…
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…
Google as a reuse of open data
The bet of the technological giant Google with open data it has been evident in various initiatives carried out in recent years. On the one hand, they launched the search engine Google Dataset Search, that facilitates the location of open data published in hundreds of repositories of international i…
