La era de los datos | 🇬🇧 The Age of Data
La era de los datos | 🇬🇧 The Age of Data
“Diecinueve grandes expertos de todo el mundo esbozan las reformas ambiciosas y radicales necesarias para encarar los desafíos de la era de los datos”. | 🇬🇧 “Nineteen leading experts from all over the world outline the major, radical reforms needed to address the challenges of the Age of Data”. (OpenMind. BBVA).
La Organización Mundial de la Propiedad Intelectual cierra la consulta pública sobre políticas de Inteligencia Artificial y Propiedad Intelectual
La OMPI ha recibido más de 250 respuestas a su solicitud de comentarios públicos para un borrador de documento sobre cuestiones sobre propiedad intelectual e inteligencia artificial. Y ha recopilado una amplia gama de partes interesadas de todo el mundo.
A European strategy for data
The EU can become a leading role model for a society empowered by data to make better decisions -in business and the public sector. To fulfil this ambition, the EU can build on a strong legal framework – in terms of data protection, fundamental rights, safety and cybersecurity and its internal market with competitive companies of all sizes and varied industrial base.
In the period 2021-2027, the Commission will invest in a High Impact Project on European data spaces and federated cloud infrastructures.
WHITE PAPER On Artificial Intelligence – A European approach to excellence and trust
The purpose of this White Paper is to set out policy options on how to achieve these objectives. It does not address the development and use of AI for military purposes.The Commission invites Member States, other European institutions, and all stakeholders, including industry, social partners, civil society organisations, researchers, the public in general and any interested party, to react to the options and to contribute to the Commission’s future decision-making in this domain.
Python Data Science Handbook (Essential Tools for Working with Data)
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools.
A Whirlwind Tour of Python
A Whirlwind Tour of Python is a fast-paced introduction to essential features of the Python language, aimed at researchers and developers who are already familiar with programming in another language. The material is particularly designed for those who wish to use Python for data science and/or scientific programming, and in this capacity serves as an introduction to my longer book, The Python Data Science Handbook.