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SMACK Stack – A Modern Tool Set for Data Science
Date: May 8, 2017
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What Is SMACK?

The combination of various powerful data science tools is not something new. However, even though most data science tool sets focus on delivering the key aspects of data analytics for big data scenarios, some of them go beyond that. One such tool set that is able to handle not just big data but also event processing and doing so in a very fast manner, is the SMACK stack, which stands for the names of the tools it comprises of: Spark (the main processing engine of the framework), Mesos (the container of the whole ecosystem), Akka (the data model), Cassandra (the system handling storage and retrieval of data), and Kafka (the broker).
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Boosting Cybersecurity with the Use of A.I.
Date: May 3, 2017
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Cybersecurity, the set of frameworks geared towards protecting computers and computer networks from malicious software and unwarranted access to computer systems, is a major concern across almost all industry sectors. After the recent hacks of various sites’ servers thought to be “secure” people have started to realize that the concept of security in the computer world is quite relative. Despite the tremendous efforts from the security experts side, the malicious hackers (aka crackers) appear to catch up to the newest security measures fairly quickly. Moreover, the fact that they have access to more and more computing power only makes things easier for the intruders. Could it be that Artificial Intelligence (A.I.) holds the key to keeping these cybercriminals at bay?
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Applications of Deep Learning to Real-World Analytics Scenarios
Date: April 4, 2017
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What Is Deep Learning?

Many people talk about Deep Learning these days but few actually know what they are talking about. Fortunately there is a plethora of articles and books available on the topic. Yet, you don’t need to go anywhere else to find out more about this fascinating part of data science since Data Science Partnership is one of the places where this technology flourishes. In essence, Deep Learning is a series of machine learning methods that employ Artificial Intelligence (AI) in the form of sophisticated Artificial Neural Networks (ANNs), to tackle complex problems. There are a couple of catches though. First of all, in order to do something useful with Deep Learning you need to have a lot of data. Also, in order to make the most of this data using Deep Learning, you need to have people who know the ins and outs of Deep Learning, since it is a quite complicated process to get a large ANN to do its magic.
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Zacharias Voulgaris joins Data Science Partnership as Head Of Content
Date: March 15, 2017
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Getting On-board @ Data Science Partnership

I’d like to take this opportunity to announce that from now on I’ll be part of the Data Science Partnership team, as the Head of Content. Although the company focuses more on hands-on projects and on-site training for enterprises, we feel that it would be a good idea to share certain materials with everyone who takes time to visit our site. After all, technology-related information is everyone’s domain and unlike academics who like to hide all their knowledge behind research papers inaccessible to the everyday person, we at Data Science Partnership prefer to share what is non-sensitive information on this tech with the world freely and make it comprehensive to the majority. This not only allows for fewer misunderstandings about the ever-changing fields of Data Science / Machine Learning / Artificial Intelligence, but also can help inspire others to get involved in these technologies, and benefit the world through them.
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