Posts Tagged ‘Deep Learning’

TOP 5: The 5 most read posts of Synergic Partners
  • Synergic Partners
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  • CDO . Chief Data Officer . Consumer Insights . Data Science . Deep Learning . Inteligencia Artificial . LUCA . Machine Learning . Synergic Partners . Telefónica .

Today we have an important announcement to give you, as you know Synergic Partners has been integrated in LUCA, the data unit of Telefónica, and in order to continue offering the best content we have decided to add both blogs and continue our publications in the LUCA blog, this being our last post. We want to make a final publication remembering the 5 most read posts of Synergic but we would also like to thank you for the interest you have always shown in these topics that we are so passionate about. (And many thanks also to our collaborators!) In no specific order, the first post that we share is one that it was well received as it explained, in…

Deep Learning from the basis
  • Pablo Navarro
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  • Artificial Intelligence . Deep Learning . Inteligencia Artificial . Machine Learning . Neural Networks . Perceptrones . Redes Neuronales .

As mentioned in the previous article “Deep Learning, only for professional pilots”: there is no point in buying a Ferrari with a year´s license. However, we want to evoke in favor of Deep Learning and we thought it's important to start somewhere. We want to start with a purely informative article, for those to whom Deep Learning sounds like a science fiction or a horror movie. We do not pretend you end up using neural network models on a daily basis, we are just interested that you have the base to be able to make the leap into the world of Deep Learning. Starting from the basics, it is convenient to ask ourselves the question: What is Deep Learning? The…

Deep Learning, only for professional pilots
  • Antonio Pita
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  • Antonio Pita . Deep Learning . Professional Skills . Redes Neuronales .

Let’s start with a simple question ; if knowing how to cook does not make you a chef, nor knowing how to drive makes you a pilot, then, do you think that working with data is enough for someone to become a Data Scientist? Deep Learning is the latest fashion buzzword in Data Science, driven by the proliferation of libraries (Tensorflow, Caffe, Keras, H2O, ...) that put these powerful algorithms at our fingertips to train Deep Learning models. We can understand Deep Learning with the following analogy to avoid falling into the black hole of illusion that these models represent: Deep Learning is elegant and powerful like a Ferrari. But what happens when we leave a Ferrari to a 17-year-old…

The Deep Learning Hype
  • Alfonso Ibañez
  • Algoritmos . Big Data . Computación . Data . Data Science . Data Scientists . Deep Learning . Deep Learning Hype . Fiebre Deep Learning . IA . Inteligencia Artificial . Machine Learning . Neural Networks . Redes Neuronales .

In the era of Big Data a day does not pass by without us reading some news about Artificial Intelligence, Machine Learning or Deep Learning, never knowing what they refer to. The "experts" of the sector mix and exchange the terms with all naturalness, and only contribute to their hype. The simple fact of mentioning them catches the attention of investors and convinces them that these techniques have an almost magical power. Machine Learning is a scientific discipline coming from Artificial Intelligence, that studies how systems can be programmed to learn and improve with experience without human intervention. To address this problem, new paradigms emerge daily that allow the discovery of knowledge based on specific data deriving from solid statistical…

The hottest trends in Big Data and Data Science
  • Synergic Partners
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  • Big Data . Big Data Diet . Data . Data outsourcing . data plumbing . Data Science . Deep Learning . Hadoop . HPC . light analytics . small data . Transformación digital .

Based on client surveys – vendors of products and data processing platforms – as well as trends on popular blogs, LinkedIn and similar posts, here are the most in-demand big data and data science topics: The importance of data plumbing (as the cleaning and preparation of data has come to be known in general terms) in optimizing big data tools, making them more precise, safer, more reliable and faster through “data pipes” (internet, intranet, in-memory, local servers, the cloud, Hadoop clusters, etc.), optimizing such aspects as redundancy, load balance, and the intake, storage, compression and summary of data, among other things. The rise of the data plumber, an architect of systems and systems analysis (a new figure in the ranks…

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