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With the support of Microsoft, we are opening up our time and experience to those who want to understand Deep Learning and Data Science using the Azure service. Our best data scientists are available on our private group to answer…
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OmniDJ is our intelligent IOT embedded system prototype, offering video and real-time visual analysis while using a specialized AI algorithm. The basis of our project is to offer the owners of restaurants, teahouses, hotels, entertainment venues, and to all…
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The idea that Deep Learning is directly associated with Big Data (not only correlation – we’re talking about full blown implication) is present in courses, lectures, articles everywhere you look… and that is unfortunate. Theory doesn’t always agree with practice,…
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The motivational use-case: signal prediction in trading Back in 2014 I was leading a project, for a client, that had the “simple” purpose of automated trading for stock exchange. The project was quite focused in scope and was, in fact,…
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Today, more and more, it is necessary that most applications and documents developed in previous or current technologies to be accessible online on cloud-based infrastructures. That’s why the migration of legacy systems including their hosts of documents to new technologies…
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Product recommender systems and customer profiling techniques have always been a priority in online retail. Recent machine learning research advances and also wide availability of massive parallel numerical computing has enabled various approaches and directions of recommender systems advancement. Worth…
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Customer churn is an essential retail metric used in business predictive analytics systems to quantify the number of customers who left a company. All retail and business to consumer companies carefully analyze customer behavior to prevent them to cease their…
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Predictive analytics systems are currently one of the most important areas of research and development within the Artificial Intelligence domain and particularly in Machine Learning. One of the “holy grails” of predictive analytics is the research and development of the…
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The need for systems capable of conducting inferential analysis and predictive analytics is ubiquitous in a global information society. With the recent advances in the areas of predictive machine learning models and massive parallel computing a new set of resources…
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On-demand computing, Software-as-a-Service, Platform-as-a-Service, and in general Cloud Computing is currently the main approach by which both academic and commercial domains are delivering systems and content. Nevertheless there still remains a huge segment of legacy systems and application ranging from…
