5 Big Data Security Challenges

As interest in big data has exploded, organizations have rushed to grab competitive advantage by deploying analytics pipelines that exploit this newly available resource. Many projects have been set up in a “skunkworks” environment, often by data science teams. While this has accelerated the time to market for new features, it has created a potential […]
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Tackling a new dataset

With all the excitement (hype?) surrounding machine learning, there’s a tendency for decision makers (and many analysts) to believe that insights are just waiting to spring forth from the data when they are finally released by these magical algorithms. When it’s time to sit down and actually work with a real dataset, disillusionment quickly sets […]
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Creating dynamic reports using R Markdown

R Markdown is a formatting syntax that makes it easy to create dynamic reports. It’s based on the popular Markdown lightweight markup language for web writing. Markdown Markdown is a response to the growing importance of writing for on-line publication. Tools based around the concept of a printed page (e.g. Word, Google Docs) make little […]
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Better Performance for R Functions with Vectorization

One of the best things about R is that so many talented people have contributed a multitude of  valuable packages. In fact there are so many, that for most tasks you don’t have to do any programming at all. However, there are always going to be problems that require custom treatment and that will demand […]
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Face and Emotion Detection using Microsoft Cognitive Services

Microsoft Cognitive Services provide tools to help you include powerful, machine-based artificial intelligence in your applications. There are a range of APIs covering: computer vision speech recognition language understanding knowledge exploration search In this article, we’ll be looking at two APIs in the computer vision areas: Face API Emotion API The Face API allows us […]
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