11 posts found
Applications of artificial intelligence in professional sports
Sport has always been characterized by generating a lot of data, statistics, graphs... But accumulating figures is not enough. It is necessary to analyze the data, draw conclusions and make decisions based on it. The advantages of sharing data in this sector go beyond mere sports, having a positive…
The benefits of sharing sport-related data
In the digital age, data has become an invaluable tool in almost all areas of society, and the world of sport is no exception. The availability of data related to this field can have a positive impact on the promotion of health and wellbeing, as well as on the improvement of physical performance of…
Open Data for Sustainable City Development
Open data is a valuable tool for making informed decisions that encourage the success of a process and enhance its effectiveness. From a sectorial perspective, open data provides relevant information about the legal, educational, or health sectors. All of these, along with many other areas, utilize…
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…
4 examples of harmonisation of datasets
In any project related to data, it is common to have different sources of information. Data is key for companies and public administrations, in decision making or as a basis for the implementation of projects, services or products. But if these data sources display information in a heterogeneous way…
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…
R and Python Communities for Developer
R vs Python? Better R and Python: Two languages, two styles. A common goal: to domesticate the data.
If data science were a sport, R and Python would be the two best teams in the league for several seasons. If you are a Data Scientist or are close to this scientific-technical discipline, the two pro…
