LUCA Do not miss what happened at NID 2018: WE ARE IN Under the claim We are in, Telefónica developed the Network Innovation Day 2018 (#NID2018) on July 14th. This was the first annual innovation event of the network, which aims...
LUCA The rise of data-driven education Here at LUCA, we like to use our blog to discover and explore how Big Data can be used in parts of society that have historically been closed off...
Mirian Martinez Varas MWC 2017: The evolution of connectivity and new uses for IoT The nature of Internet of Things is the connection between devices, between platforms, between actions and between people. Connectivity is crucial in a world of growing needs, which in...
Beatriz Sanz Baños Innovating with IoT Startups create products and technological solutions that anticipate the needs of the future, helping us in the transition to the digital age. However, they need resources so that time...
Innovation and Laboratory Area in ElevenPaths Uncovering APTualizator: the APT that patches Windows By the end of June 2019, we assisted to an incident were a high number of computers had started to reboot abnormally. In parallel, Kaspersky detected a file called swaqp.exe, which apparently...
ElevenPaths The post-quantum future is around the corner and we are still not prepared Every year we have more powerful computers with a higher calculation capacity, is that fact good or bad? Think twice before giving an answer. It depends. Because if global information...
Paloma Recuero de los Santos Python for all (5): Finishing your first Machine Learning experiment with Python We have finally come to the last part of the Machine Learning experiment with Python for all. We have been taking it step by step, and in this last...
LUCA Python for all (4): Data loading, explorative analysis and visualisation Now we have the environment installed, and we have had some practice with commands and we have learnt the various libraries, and which are the most important. The time...
Paloma Recuero de los Santos Python for all (3): ScyPy, NumPy, Pandas…. What libraries do we need? We are taking another step in our learning of Python by studying what the modules are, and, in particular the libraries. We will see what purpose some of them...
LUCA Python for all (2): What are Jupyter Notebooks? What are the Jupyter Notebooks? The Jupyter Notebooks is maybe the most well know application of the Jupyter Project, created in 2014 with the objective of developing open-source software,...
Paloma Recuero de los Santos Python for all (1): Installation of the Anaconda environment Now that we have defined the objective of this tutorial in the previous post (“Dare with the Python: an experiment for all”), we will really begin to work. We...
Richard Benjamins Dare with Python: An experiment for all (intro) As we did in our experiment on the Titanic dataset in Azure Machine Learning Studio, we will continue with the “Learning by doing” strategy because we believe that the...
Santiago Morante Cendrero Warning About Normalizing Data For many machine learning algorithms, normalizing data for analysis is a must. A supervised example would be neural networks. It is known that normalizing the data being input to...
LUCA Deep Learning vs Atari: train your AI to dominate classic videogames (Part II) Written by Enrique Blanco (CDO Researcher) and Fran Ramírez (Security Researcher at Eleven Paths) In this article, the second about our experiment using Reinforcement Learning (RL) and Deep Learning in...
LUCA Deep Learning vs Atari: train your AI to dominate classic videogames (Part I) A few months ago we began a series of posts on this blog where we explained how you can train an Artificial Intelligence (AI) to eventually win certain games....
LUCA Cycling in the city? Analysing Cyclist Safety in Madrid with Excel Written by Paloma Recuerdo, original post in Spanish In this post we will see an example of how we can perform simple descriptive analytics on a set of data, without...
LUCA The best Data Science certifications Over the last 10 years, the amount of data we have generated has soared to unprecedented heights. It is said that by 2020, each person will be generating 1.7...
Santiago Morante Cendrero Warning About Normalizing Data For many machine learning algorithms, normalizing data for analysis is a must. A supervised example would be neural networks. It is known that normalizing the data being input to...
LUCA Machine Learning to analyze League of Legends Written by David Heras and Paula Montero, LUCA Interns, and Javier Carro Data Scientist at LUCA When League of Legends was released in 2009, few people could have predicted what...
Richard Benjamins Artificial Intelligence vs Cognitive Computing: What’s the difference? The media hype around Artificial Intelligence (AI) and Cognitive Computing is unquestionable at the moment. They seem to appear everywhere on the Internet in the press, blogs, conferences and events...
