7 posts found
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…
What is a data dictionary and why is it important?
Data has occupied a fundamental place in our society in recent years. New technologies have enabled a data-driven globalization in which everything that happens in the world is interconnected. Using simple techniques, it is possible to extract value from them that was unimaginable just a few years a…
Data vocabularies: why are they important?
Each individual, organization or group uses a number of common words in their daily communication, which would be their personal vocabularies. The greater the number of words we use, the greater our ability to communicate, but it can also be a barrier, increasing the difficulty of understanding othe…
Linked Open Vocabularies (LOV)
One of the main barriers to the deployment of linked data is the difficulty that data editors have to determine which vocabularies to use to describe their semantics. These vocabularies provide the "semantic glue" that allows simple data to become "meaningful data".
Linked Open Vocabularies (LOV)…
