test blog

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Text Analytics for Machine Learning: Part 2
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Text Analytics for Machine Learning: Part 1
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Using Azure Machine Learning Studio
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[av_heading heading='Building a Predictive Model in Azure Machine Learning Studio' tag='h1' style='blockquote modern-quote modern-centered' size='50' subheading_active='subheading_below' subheading_size='25' padding='30' color='custom-color-heading' custom_font='#ffffff']
A Step-By-Step Tutorial
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A Step-By-Step Tutorial
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Redmond, Washington – March 7, 2016 - Data Science Dojo, an educational start-up, has selected its first non-profit applicant to receive tuition-free training in data science and data engineering.

What tool should I learn? This is one of the most common questions that aspiring data scientists will ask, and one which doesn't seem to have easy answers. A Google search for "Data Science Tools" returns sites talking about R, Python, SQL, Clojure, Julia, Apache Spark, and more. It's a dizzying array of answers, and to make it worse, there is little advice about which to use. I'm here to correct that.

Have you noticed that we have two demos on our site that allow you to deploy predictive models? The Titanic Survival Predictor is designed to work with a Microsoft Azure model. The AWS Machine Learning Caller is our new demo that connects to an Amazon Machine Learning model.