
EDICOM Analytics: Path towards machine learning
Pedro Ramírez and Manuel Roselló, Software Engineers, will discuss how to design and train a model to predict and aid in decision-making, based on a dataset and graphs.
Read morePedro Ramírez and Manuel Roselló, Software Engineers, will discuss how to design and train a model to predict and aid in decision-making, based on a dataset and graphs.
Read moreDiscover the first days, what the initial training brings and how was the integration into the team of one of the people who have landed in the company in recent months.
Read morePupils from the Barri del Carme secondary school and the MARNI school learned about the functions of each of the areas that make up the company.
Read moreThe team is made up of professionals from the Software Development and Integration areas.
Read moreOur Software Engineers, Ángel Fernández and Pedro Ramírez, detail us how to integrate Google Lighthouse in Continuous Integration processes to optimize applications.
Read moreAfter six weeks of training to specialize in EDI, employees will join the Software Integration and Development areas.
Read moreIn this second part, we will describe how to implement, step by step, a deep learning system that solves the problem posed: to program an algorithm that automatically qualifies the complexity of a new EDICOM technical task.
Read moreIn this article we ask ourselves if it is possible to program an algorithm that automatically qualifies the complexity of a new task. We will review the basics of artificial intelligence, machine learning, and deep learning.
Read moreAll the training is currently taking place online, as the entire team continues to work remotely.
Read moreThe AED initiative lets young university students share a working day with executives from the country’s top companies, as well as SMEs and start-ups.
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