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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. If this subject intrests you, we invite...
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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...
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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 the networks improves...
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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 best way to learn is to carry...
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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 kick off our first project in Python with...
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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,...
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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 serve and lean how to import and use...
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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 has come to start our predictive...
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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 post we will address any doubts and keep going...
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LUCA Talk: RCS for Business Messaging, a New Generation
It is undeniable that we are in the midst of a revolution in communications. With more than five billion active accounts in mobile messaging applications and a strong upward trend in the use and...
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