Notes from Microsoft Machine Learning and Data Science Summit - Day 2

Microsoft Machine Learning and Data Science Summit promised to connect Big Data engineers, Data Scientists, Machine Learning practitioners and managers to share best practices, to Dive deep & learn, and to facilitate Think big & execute fast ideas. In my experience, the summit met majority of its goals and it was a great start. Microsoft has graciously made majority...

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Notes from Microsoft Machine Learning and Data Science Summit - Day 1

Microsoft Machine Learning & Data Science Summit is taking place in conjunction with Microsoft Ignite at Georgia World Congress Center. Today, day 1 started with keynote by Dr. Joseph Sirosh who identified three axes of innovation along with various customer case studies. Thought leaders and Microsoft engineers discuss the latest Big Data, Machine Learning, Artificial Intelligence,...

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Data Science Hackathon

Online Data Science Hackathon - Apache Spark Maker Build This is a Global On-line Hackathon that Begins May 23, 2016 and Ends August 3, 2016.  Submissions Due August 3rd By 5:00 Pm Est. Build an Apache Spark application to address a real business problem or core concern related to customer care, marketing, risk management or...

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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 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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