131 documents found
Decálogo del científico de datos
La ciencia de datos se ha consolidado como un pilar de la toma de decisiones basada en evidencias en sectores públicos y privados. En este contexto, surge la necesidad de una guía práctica y universal que trascienda modas tecnológicas y proporcione principios sólidos y aplicables. La presente guía…
- Guías
Practical Exercise on Multiple Linear Regression: Predict Air Quality in Castilla and León
In the field of data science, the ability to build robust predictive models is fundamental. However, a model is not just a set of algorithms; it is a tool that must be understood, validated, and ultimately useful for decision-making.
Thanks to the transparency and accessibility of open data, we…
- Data exercises
Unity Catalog: Empowering Collaboration in the Data and AI Ecosystem through Open Source
Data sharing has become a critical pillar for the advancement of analytics and knowledge exchange, both in the private and public sectors. Organizations of all sizes and industries—companies, public administrations, research institutions, developer communities, and individuals—find strong value…
- Data exercises
Learn to Generate Reports with LangGraph and AI
In the current landscape of data analysis and artificial intelligence, the automatic generation of comprehensive and coherent reports represents a significant challenge. While traditional tools allow for data visualization or generating isolated statistics, there is a need for systems that can…
- Data exercises
Guide to generating synthetic data: an indispensable tool for innovation and data protection
The Spanish Data Protection Agency has recently published the Spanish translation of the Guide on Synthetic Data Generation, originally produced by the Data Protection Authority of Singapore. This document provides technical and practical guidance for data protection officers, managers…
- Reports and studies
Guidance for the deployment of data portals. Good practices and recommendations
Open data portals help municipalities to offer structured and transparent access to the data they generate in the exercise of their functions and in the provision of the services they are responsible for, while also fostering the creation of applications, services and solutions that generate value…
- Guides
Chatting with Public Data: A Practical Application of Artificial Intelligence
Open data portals are an invaluable source of public information. However, extracting meaningful insights from this data can be challenging for users without advanced technical knowledge.
In this practical exercise, we will explore the development of a web application that democratizes access to…
- Data exercises
From theory to practice: creating a RAG-based conversational agent.
Introduction
In previous content, we have explored in depth the exciting world of Large Language Models (LLM) and, in particular, the Retrieval Augmented Generation (RAG) techniques that are revolutionising the way we interact with conversational agents. This exercise marks a milestone in our…
- Data exercises
Word Embeddings - Practical Exercise on Tag Processing
Open data portals play a fundamental role in accessing and reusing public information. A key aspect in these environments is the tagging of datasets, which facilitates their organization and retrieval.
Word embeddings represent a transformative technology in the field of natural language…
- Data exercises
A practical introductory guide to exploratory data analysis in Python
The following presents a new guide to Exploratory Data Analysis (EDA) implemented in Python, which evolves and complements the version published in R in 2021. This update responds to the needs of an increasingly diverse community in the field of data science.
Exploratory Data Analysis (EDA)…
- Guides
