10 posts found
Traditional AI vs Generative AI: Understanding Their Differences
Artificial intelligence (AI) has become a central technology in people's lives and in the strategy of companies. In just over a decade, we've gone from interacting with virtual assistants that understood simple commands, to seeing systems capable of writing entire reports, creating hyper-realistic i…
The keys to the UNE data specifications
We live in a constantly evolving environment in which data is growing exponentially and is also a fundamental component of the digital economy. In this context, it is necessary to unlock its potential to maximize its value by creating opportunities for its reuse. However, it is important to bear in…
UNE 0081 Specification - Data Quality Assessment Guide
Today, data quality plays a key role in today's world, where information is a valuable asset. Ensuring that data is accurate, complete and reliable has become essential to the success of organisations, and guarantees the success of informed decision making.
Data quality has a direct impact not only…
Especificaciones UNE – Guía de Evaluación del Gobierno, Gestión y Gestión de la Calidad del Dato
Motivación
Hoy en día, en un entorno en constante cambio y en el que la generación de datos está creciendo de forma exponencial, es necesario establecer procesos comunes a lo largo del ciclo de vida de los activos de datos de toda organización. Disponer de datos bien gobernados, gestionados y con ni…
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…
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…
Painting and Data
Until relatively recently, talking about art and data in the same conversation might seem strange. However, recent advances in data science and artificial intelligence seem to open the door to a new discipline in which science, art and technology go hand in hand.
The cover image has been extracted…
arte R visualizaciones +1
