SAS Blogs

Machine Learning

Get the latest machine learning algorithms and techniques

Phil WeissDecember 15, 2014 0

Don’t be fooled: there’s really only two basic types of distributed processing

Every time I pick up a new article about analytics, I am always disappointed by the fact that I cannot find any specifics mentioned about back-end processing. It is no secret that every vendor wishes they had the latest and greatest parallel processing capabilities, but the truth is that many

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Machine Learning

Fiona McNeillNovember 12, 2014 0

The prescription for unstructured data analysis is now legible

My Mum could have been a doctor – most can’t read her handwriting. It’s only because I’ve been trained to read it, I can. The analysis of unstructured data is similar. Text analysts can be quickly overwhelmed to learn that you have to manually develop a training corpus. Reading a

Advanced Analytics | Machine Learning | SAS Events

Polly Mitchell-GuthrieAugust 29, 2014 0

Building a $1 billion machine learning model

At the KDD conference this week I heard a great invited presentation called How to Create a $1 billion Model in 20 days: Predictive Modeling in the Real World – A Sprint Case Study. It was presented by Tracey de Poalo from Sprint and former Kaggle President and well known

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Advanced Analytics | Machine Learning

Polly Mitchell-GuthrieAugust 22, 2014 0

Looking backwards, looking forwards: SAS, data mining, and machine learning

Looking forward, ten of my SAS colleagues and I are heading to New York City this weekend for KDD 2014: Data Science for the Social Good, which runs August 24-27. This event’s full name is the 20th Association for Computing Machinery Special Interest Group on Knowledge Discovery and Data Mining,

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Advanced Analytics | Machine Learning

Jared DeanMarch 21, 2014 0

March Madness and Predictive Modeling

In my region of North Carolina (Raleigh, Durham, and Chapel Hill) one of the most anticipated times of the year has arrived— the NCAA basketball tournament. This is a great time of year for me, because I get to combine several of my passions. For those who don’t live among crazed college

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