Tampa Bay Data Science Meetup - Machine Learning Overview with Microsoft Azure

Tomorrow, Tampa Bay Data Science Group in conjunction with Florida IT Professionals group like to announce the meetup, Machine Learning Overview - Microsoft Azure RSVP Here  and join us at Microsoft Tampa Office to discuss Azure Machine Learning, a fully managed cloud service that enables you to easily build, deploy, and share predictive analytics solutions. 6:00pm...

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Irvine .NET Meetup - From Story to Document: Modeling Common Business Problems with MongoDB

As co-organizer of Irvine.NET Meetup, I'd invite you to our next meetup. Today Wed 5/18, Nuri Halperin will be presenting at Irvine Developers Group, an exclusive preview of his MongoDB World '16 Talk "From Story to Document: Modeling Common Business Problems with MongoDB". RSVP Abstract: When designing a solution leveraging MongoDB, the entities and business requirements...

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Exploring Spark with Data Science Work bench

Apache Spark is a general purpose cluster computing platform which extends map-reduce to support multiple computation types including but not limited to stream processing and interactive queries. Last week IBM's Moktar Kandil presented at the Tampa Hadoop and Tampa Data Science Group Joint meetup on the topic of exploring Apache Spark. Apache Spark for Azure HD-Insight Following are...

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State of Application Security Report – Financial Services Edition

Application security focused company Arxan has created some pretty neat info-graphics summarizing the State of Application Security. They have reached out to me for a review; I found the infographic along with corresponding detailed reports which outlines the summary, methodology, findings, and recommendations, quite effective yet precis overview of the state of appsec. Forty-one percent of mobile...

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State of Facial Recognition (Azure Face API et al) & Sentiment Analysis

Sam just wrote a precis on Why Facial Recognition Is the Next Big Thing in Marketing which outlines how brands are / can use the facial recognition to increase engagement, and therefore sales. From a machine learning and data science perspective, building algorithms which understand what one's face is really saying i.e. performing emotion analysis to find insight into purchasing patterns...

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